Haystac Platform / Polaris

Turn grounded insight into governed action.

Polaris uses the outputs of Chicago, Nashville, and Orion to decide what should happen next — then routes, escalates, validates, triggers, or executes workflow steps with control, confidence thresholds, and a full audit trail.

Summer 2026 · early access open
haystac.local · Polaris · insight → governed action
Decide next steps
01
Based on content, rules, and context
Route exceptions
02
Send uncertain cases to human review
Trigger workflows
03
Move work into downstream systems
Log every action
04
Keep execution auditable and controlled
Incoming contextlive
objective adjudicate claim #4471
chicago.classClaim form
nashville.fields5 / 5
orion.answerapprove (0.94)
policyv14
case stateopen
Plan · tool callspolaris.plan
step 1validate completeness
step 2apply underwriting rules
step 3check confidence threshold
step 4approve & notify reviewer
conf 0.94 > threshold 0.85 · proceed
Action log · audit trailpolaris.exec
09:14:02approved claim #4471Done
09:14:03updated case_systemDone
09:14:03notified adjusterSent
09:14:04posted to ECMSynced
09:14:04closed case dec-4471-aDone
✓ audit ref: pol-exec-4471a · user: svc.polaris · logged to SIEM
Where Polaris fits

Chicago identifies the document. Nashville extracts the facts. Orion explains the evidence. Polaris moves the work forward.

Polaris is the action layer of OmniSuite™. It takes structured content, extracted facts, grounded answers, prior workflow context, and business rules — then determines the next operational step. That could mean routing a claim, escalating an exception, requesting missing information, triggering a review, generating a summary, updating a case system, or preparing a recommendation for human approval. Polaris is where document intelligence becomes operational follow-through.

Chicago
classify & separate
document type
Nashville
extract structured data
fields · tables
Orion
reason over evidence
cited answers
Polaris
trigger next action
action + audit
delivered
workflow

Polaris is the final layer. It closes the loop between document understanding and operational follow-through — the step that turns insight into action your enterprise can actually execute, audit, and trust.

The problem

Most AI stops before the work is done.

A system can classify the document. It can extract the facts. It can even generate a grounded answer. But then what?

Someone still has to decide whether the case is complete, whether the claim should be escalated, whether missing information should be requested, whether the review should move forward, whether the customer should be notified, or whether the workflow should be closed. That handoff is where speed, consistency, and accountability break down.

01

Insight still creates manual coordination.

Teams get summaries and recommendations, but humans still have to move the work across systems, queues, reviewers, and next steps.

02

Rules are applied inconsistently.

Different reviewers may handle the same exception differently, especially when workflows depend on policy, confidence, evidence, and judgment.

03

Automation is hard to trust without control.

In regulated work, action cannot be a black box. Every step needs a reason, a threshold, a fallback, and an audit trail.

The Polaris answer

Close the loop between understanding and execution.

Polaris turns content-driven insight into governed workflow action. It uses the context created by Chicago, the structured data extracted by Nashville, and the grounded reasoning produced by Orion. Then it determines the right next step based on business rules, workflow state, confidence thresholds, and policy controls. Polaris can recommend an action, trigger a workflow, route a case, escalate uncertainty, or coordinate multiple steps across systems.

01

Evaluate the situation

Use document type, extracted facts, retrieved evidence, prior actions, and workflow state to understand what needs to happen.

02

Choose the next step

Determine whether to approve, reject, route, escalate, request information, generate a summary, or trigger another workflow action.

03

Execute with controls

Take action only within configured rules, thresholds, permissions, and governance boundaries.

04

Escalate when needed

Send uncertain, incomplete, high-risk, or policy-sensitive cases to a human reviewer.

05

Record the trail

Capture the inputs, outputs, confidence, decision path, and action taken for audit and review.

What it enables

Move work forward without losing control.

Route clean cases automatically

Send complete, in-policy cases to the right queue, team, workflow, or downstream system.

Escalate exceptions to human review

Flag missing information, low confidence, policy conflicts, inconsistent evidence, or high-risk cases.

Trigger follow-up actions

Request missing documents, notify reviewers, generate correspondence, create tasks, or update case status.

Apply workflow rules consistently

Use the same business logic, thresholds, and escalation paths across claims, applications, records, and cases.

Coordinate across systems

Invoke Haystac modules, enterprise APIs, databases, case systems, workflow tools, or external services.

Maintain an audit trail

Record what happened, why it happened, which evidence was used, and when a human was involved.

How it works

From objective to executed workflow.

Polaris acts as a governed agent runtime over the OmniSuite™ platform. It receives a goal, assembles context, plans the steps, invokes the right tools, executes the workflow, and adapts when the result requires review.

01
Receive objective

Start with the work to be done.

A user, host system, or workflow gives Polaris an objective: process this claim, validate this case, review this packet, escalate this exception, or prepare this decision.

Incoming objectivepolaris.intake
objectiveadjudicate
case refdec-4471-a
scopeclaim + policy
02
Assemble context

Bring together the facts and evidence.

Polaris uses document classification from Chicago, extracted data from Nashville, grounded insight from Orion, and workflow state from connected systems.

Context bundlepolaris.context
chicago.class · Claim form0.96
nashville.fields · 5 / 5complete
orion.answer · approve0.94
case_system.stateopen
03
Plan steps

Break the objective into executable actions.

Polaris determines which tools, models, rules, reviews, or downstream systems are needed to complete the task.

Planpolaris.plan
plan ← objective [
  "validate",
  "apply_rules",
  "check_threshold",
  "approve_or_escalate"
]
04
Invoke tools

Call the right capability at the right time.

Polaris can invoke Chicago, Nashville, Orion, external APIs, databases, rules engines, workflow systems, or human review queues.

Tool callspolaris.invoke
rules_engine.runok
case_system.update200
notify.adjustersent
ecm.postsynced
05
Execute & observe

Move the workflow forward with visibility.

Each step captures inputs, outputs, confidence scores, actions, and decision rationale.

Execution tracepolaris.exec
step 1 · validate
step 2 · apply rules
step 3 · threshold
step 4 · approve
06
Adapt or escalate

Stay inside the governance boundary.

If confidence is low, evidence is missing, or policy requires review, Polaris escalates to a human instead of forcing automation.

Branching logicpolaris.guard
conf > 0.85proceed
conf < 0.85escalate
missing evidenceescalate
policy-sensitivehuman review
Agentic AI

Not a script. Not a copilot. A governed execution layer.

Traditional automation follows fixed rules. Copilots suggest what a person might do next. Polaris sits between the two. It can interpret an objective, select the right tools, plan the workflow, execute steps, observe results, and adapt — while staying inside enterprise rules and audit controls.

Traditional automation
Copilots
Polaris
Executes fixed scripts
Suggests actions to users
Plans and executes governed steps
Breaks when conditions change
Still requires manual follow-through
Adapts, retries, routes, or escalates
Limited context
Conversational context
Full document, data, evidence, and workflow context
Hard-coded integrations
User-driven action
Tool-aware orchestration
Limited audit trail
Conversation history
Inputs, outputs, confidence, rationale, and action log

Polaris does not just tell teams what happened. It helps the operation respond.

Governance

Autonomy only works when the boundaries are clear.

Polaris is designed for regulated environments where automation must be explainable, observable, and controlled. It does not treat every task the same. Routine cases can move forward automatically. Exceptions can be routed to the right reviewer. High-risk decisions can require human approval. Every action can be logged.

Confidence thresholds

Define when Polaris can proceed, retry, or escalate based on output confidence and policy requirements.

Human-in-the-loop review

Route sensitive, incomplete, uncertain, or exception-heavy cases to human reviewers.

Policy-aware execution

Apply business rules, workflow logic, and governance constraints before taking action.

Full observability

Track every input, output, tool call, decision, confidence score, and workflow result.

Audit-ready records

Create a record of what happened, why it happened, and what evidence supported the action.

Business impact

Fewer handoffs. Faster follow-through. More consistent execution.

Without Polaris

Humans carry the workflow.

×
Long cycle times

Insight is ready, but teams still wait for someone to route, escalate, and update the next system manually.

×
High operational burden

Reviewers spend their day on routine routing, status updates, follow-ups, and rekeying instead of judgment work.

×
Inconsistent decisions

Different reviewers handle similar cases differently, especially under volume or time pressure.

×
Late exception handling

Missing evidence, policy conflicts, and low-confidence cases surface late, after they’ve already moved through the pipeline.

×
Thin audit trail

The reasoning behind each action lives in heads and emails, not in a system regulators can review.

×
Risky path to automation

Going faster means giving up controls — or building a brittle black box that won’t pass review.

With Polaris

Governed execution at the speed of the work.

Shorter cycle times

Move from document intake to decision and next step without waiting for manual coordination.

Lower operational burden

Reduce the repetitive work of routing, checking, escalating, updating, and following up.

More consistent decisions

Apply the same rules, thresholds, and workflow logic across every case.

Better exception handling

Surface missing information, policy conflicts, low-confidence outputs, and high-risk cases earlier.

Stronger auditability

Capture the evidence, reasoning, confidence, and action trail behind each workflow step.

A safer path to agentic AI

Give teams automation that can act, but only within the boundaries the enterprise defines.

Use cases

For workflows where the next step matters.

Claims operations

Routing and adjudication follow-through.

Route clean claims forward, escalate suspicious cases, request missing documents, or prepare adjudication summaries.

✓ auto-approve
↑ escalate fraud
ⓘ request docs
Compliance ops

Validation and remediation.

Check extracted facts against policy rules, flag exceptions, assign remediation tasks, and record the action path.

✓ pass policy
↑ flag exception
ⓘ assign task
Prior authorization

Healthcare workflow execution.

Validate required documentation, compare evidence against plan rules, escalate incomplete cases, and prepare review packets.

✓ auto-approve
↑ escalate gap
ⓘ build packet
Banking & lending

Underwriting workflow follow-through.

Move loan files through underwriting steps, flag missing documents, route exceptions, and update case systems.

✓ advance file
↑ flag missing
ⓘ notify LO
Government casework

Case processing with audit trail.

Advance complete applications, escalate eligibility issues, request supporting records, and maintain an auditable decision trail.

✓ advance case
↑ escalate issue
ⓘ request record
Service operations

Document-driven follow-ups.

Trigger follow-ups, correspondence, reviews, approvals, renewals, onboarding steps, or back-office workflows based on document context.

✓ trigger renewal
↑ route review
ⓘ send notice
OmniSuite™

Polaris is the final layer in the content-to-action pipeline.

Polaris depends on the intelligence created upstream. Chicago organizes the content. Nashville extracts the facts. Orion explains what the evidence means. Polaris decides what should happen next and moves the workflow forward.

Chicago
What is this document?

Classifies and separates mixed document streams.

Nashville
What facts does it contain?

Extracts fields, tables, entities, handwriting, clauses, and relationships.

Orion
What does the evidence say?

Generates grounded answers, summaries, recommendations, and decision support.

Polaris
What should happen next?

Routes, escalates, validates, triggers, coordinates, and logs workflow actions.

Chicago creates order. Nashville creates data. Orion creates insight. Polaris creates follow-through.

Availability

Polaris is the next step in Haystac’s platform roadmap.

Polaris is coming Summer 2026, with early access and partner previews available now. It is designed as the governed agentic layer that completes the OmniSuite™ pipeline: from document intake to structured data, grounded reasoning, and operational execution.

Summer 2026
General availability. Early-access and partner previews are open now — talk to us about including your team in design partner cohorts.
Alpha

Document QC

Task-based orchestration for transaction-centric environments where document quality, completeness, and review routing matter.

Alpha

Dynamic pipeline orchestration

Agent-driven workflows across repositories, case systems, external tools, and long-running enterprise processes.

FAQ

Common questions about Polaris.

What does Polaris actually do?

Polaris uses document context, extracted facts, grounded insight, workflow state, and business rules to recommend, trigger, or execute the next operational step.

Is Polaris just workflow automation?

No. Traditional workflow automation follows fixed rules. Polaris is designed to reason over context, choose the right tool or step, observe the result, and escalate when needed.

Does Polaris make decisions automatically?

It can support different levels of automation depending on customer rules. Routine actions can be automated. Sensitive or low-confidence cases can be escalated to human review.

What does Polaris use as input?

It uses classification from Chicago, structured extraction from Nashville, grounded reasoning from Orion, business rules, workflow state, and connected system context.

Can Polaris work with external systems?

Yes. Polaris is designed to invoke internal Haystac services and external systems such as APIs, databases, case management tools, workflow engines, and enterprise applications.

How does Polaris stay auditable?

It records inputs, outputs, confidence scores, tool calls, rationale, actions, and escalation paths so teams can review what happened and why.

When is Polaris available?

Polaris is planned for Summer 2026, with early access and partner previews available now.

Ready when you are

Move from understanding to execution.

Polaris turns classified content, extracted data, and grounded insight into governed workflow action — so teams can route, escalate, validate, and execute with control.

We enable highly regulated organizations to build, govern, and operate domain-specific models within their own infrastructure and governance frameworks.

Haystac Platform / Polaris

Turn grounded insight into governed action.

Polaris uses the outputs of Chicago, Nashville, and Orion to decide what should happen next — then routes, escalates, validates, triggers, or executes workflow steps with control, confidence thresholds, and a full audit trail.

Summer 2026 · early access open
haystac.local · Polaris · insight → governed action
Decide next steps
01
Based on content, rules, and context
Route exceptions
02
Send uncertain cases to human review
Trigger workflows
03
Move work into downstream systems
Log every action
04
Keep execution auditable and controlled
Incoming contextlive
objective adjudicate claim #4471
chicago.classClaim form
nashville.fields5 / 5
orion.answerapprove (0.94)
policyv14
case stateopen
Plan · tool callspolaris.plan
step 1validate completeness
step 2apply underwriting rules
step 3check confidence threshold
step 4approve & notify reviewer
conf 0.94 > threshold 0.85 · proceed
Action log · audit trailpolaris.exec
09:14:02approved claim #4471Done
09:14:03updated case_systemDone
09:14:03notified adjusterSent
09:14:04posted to ECMSynced
09:14:04closed case dec-4471-aDone
✓ audit ref: pol-exec-4471a · user: svc.polaris · logged to SIEM
Where Polaris fits

Chicago identifies the document. Nashville extracts the facts. Orion explains the evidence. Polaris moves the work forward.

Polaris is the action layer of OmniSuite™. It takes structured content, extracted facts, grounded answers, prior workflow context, and business rules — then determines the next operational step. That could mean routing a claim, escalating an exception, requesting missing information, triggering a review, generating a summary, updating a case system, or preparing a recommendation for human approval. Polaris is where document intelligence becomes operational follow-through.

Chicago
classify & separate
document type
Nashville
extract structured data
fields · tables
Orion
reason over evidence
cited answers
Polaris
trigger next action
action + audit
delivered
workflow

Polaris is the final layer. It closes the loop between document understanding and operational follow-through — the step that turns insight into action your enterprise can actually execute, audit, and trust.

The problem

Most AI stops before the work is done.

A system can classify the document. It can extract the facts. It can even generate a grounded answer. But then what?

Someone still has to decide whether the case is complete, whether the claim should be escalated, whether missing information should be requested, whether the review should move forward, whether the customer should be notified, or whether the workflow should be closed. That handoff is where speed, consistency, and accountability break down.

01

Insight still creates manual coordination.

Teams get summaries and recommendations, but humans still have to move the work across systems, queues, reviewers, and next steps.

02

Rules are applied inconsistently.

Different reviewers may handle the same exception differently, especially when workflows depend on policy, confidence, evidence, and judgment.

03

Automation is hard to trust without control.

In regulated work, action cannot be a black box. Every step needs a reason, a threshold, a fallback, and an audit trail.

The Polaris answer

Close the loop between understanding and execution.

Polaris turns content-driven insight into governed workflow action. It uses the context created by Chicago, the structured data extracted by Nashville, and the grounded reasoning produced by Orion. Then it determines the right next step based on business rules, workflow state, confidence thresholds, and policy controls. Polaris can recommend an action, trigger a workflow, route a case, escalate uncertainty, or coordinate multiple steps across systems.

01

Evaluate the situation

Use document type, extracted facts, retrieved evidence, prior actions, and workflow state to understand what needs to happen.

02

Choose the next step

Determine whether to approve, reject, route, escalate, request information, generate a summary, or trigger another workflow action.

03

Execute with controls

Take action only within configured rules, thresholds, permissions, and governance boundaries.

04

Escalate when needed

Send uncertain, incomplete, high-risk, or policy-sensitive cases to a human reviewer.

05

Record the trail

Capture the inputs, outputs, confidence, decision path, and action taken for audit and review.

What it enables

Move work forward without losing control.

Route clean cases automatically

Send complete, in-policy cases to the right queue, team, workflow, or downstream system.

Escalate exceptions to human review

Flag missing information, low confidence, policy conflicts, inconsistent evidence, or high-risk cases.

Trigger follow-up actions

Request missing documents, notify reviewers, generate correspondence, create tasks, or update case status.

Apply workflow rules consistently

Use the same business logic, thresholds, and escalation paths across claims, applications, records, and cases.

Coordinate across systems

Invoke Haystac modules, enterprise APIs, databases, case systems, workflow tools, or external services.

Maintain an audit trail

Record what happened, why it happened, which evidence was used, and when a human was involved.

How it works

From objective to executed workflow.

Polaris acts as a governed agent runtime over the OmniSuite™ platform. It receives a goal, assembles context, plans the steps, invokes the right tools, executes the workflow, and adapts when the result requires review.

01
Receive objective

Start with the work to be done.

A user, host system, or workflow gives Polaris an objective: process this claim, validate this case, review this packet, escalate this exception, or prepare this decision.

Incoming objectivepolaris.intake
objectiveadjudicate
case refdec-4471-a
scopeclaim + policy
02
Assemble context

Bring together the facts and evidence.

Polaris uses document classification from Chicago, extracted data from Nashville, grounded insight from Orion, and workflow state from connected systems.

Context bundlepolaris.context
chicago.class · Claim form0.96
nashville.fields · 5 / 5complete
orion.answer · approve0.94
case_system.stateopen
03
Plan steps

Break the objective into executable actions.

Polaris determines which tools, models, rules, reviews, or downstream systems are needed to complete the task.

Planpolaris.plan
plan ← objective [
  "validate",
  "apply_rules",
  "check_threshold",
  "approve_or_escalate"
]
04
Invoke tools

Call the right capability at the right time.

Polaris can invoke Chicago, Nashville, Orion, external APIs, databases, rules engines, workflow systems, or human review queues.

Tool callspolaris.invoke
rules_engine.runok
case_system.update200
notify.adjustersent
ecm.postsynced
05
Execute & observe

Move the workflow forward with visibility.

Each step captures inputs, outputs, confidence scores, actions, and decision rationale.

Execution tracepolaris.exec
step 1 · validate
step 2 · apply rules
step 3 · threshold
step 4 · approve
06
Adapt or escalate

Stay inside the governance boundary.

If confidence is low, evidence is missing, or policy requires review, Polaris escalates to a human instead of forcing automation.

Branching logicpolaris.guard
conf > 0.85proceed
conf < 0.85escalate
missing evidenceescalate
policy-sensitivehuman review
Agentic AI

Not a script. Not a copilot. A governed execution layer.

Traditional automation follows fixed rules. Copilots suggest what a person might do next. Polaris sits between the two. It can interpret an objective, select the right tools, plan the workflow, execute steps, observe results, and adapt — while staying inside enterprise rules and audit controls.

Traditional automation
Copilots
Polaris
Executes fixed scripts
Suggests actions to users
Plans and executes governed steps
Breaks when conditions change
Still requires manual follow-through
Adapts, retries, routes, or escalates
Limited context
Conversational context
Full document, data, evidence, and workflow context
Hard-coded integrations
User-driven action
Tool-aware orchestration
Limited audit trail
Conversation history
Inputs, outputs, confidence, rationale, and action log

Polaris does not just tell teams what happened. It helps the operation respond.

Governance

Autonomy only works when the boundaries are clear.

Polaris is designed for regulated environments where automation must be explainable, observable, and controlled. It does not treat every task the same. Routine cases can move forward automatically. Exceptions can be routed to the right reviewer. High-risk decisions can require human approval. Every action can be logged.

Confidence thresholds

Define when Polaris can proceed, retry, or escalate based on output confidence and policy requirements.

Human-in-the-loop review

Route sensitive, incomplete, uncertain, or exception-heavy cases to human reviewers.

Policy-aware execution

Apply business rules, workflow logic, and governance constraints before taking action.

Full observability

Track every input, output, tool call, decision, confidence score, and workflow result.

Audit-ready records

Create a record of what happened, why it happened, and what evidence supported the action.

Business impact

Fewer handoffs. Faster follow-through. More consistent execution.

Without Polaris

Humans carry the workflow.

×
Long cycle times

Insight is ready, but teams still wait for someone to route, escalate, and update the next system manually.

×
High operational burden

Reviewers spend their day on routine routing, status updates, follow-ups, and rekeying instead of judgment work.

×
Inconsistent decisions

Different reviewers handle similar cases differently, especially under volume or time pressure.

×
Late exception handling

Missing evidence, policy conflicts, and low-confidence cases surface late, after they’ve already moved through the pipeline.

×
Thin audit trail

The reasoning behind each action lives in heads and emails, not in a system regulators can review.

×
Risky path to automation

Going faster means giving up controls — or building a brittle black box that won’t pass review.

With Polaris

Governed execution at the speed of the work.

Shorter cycle times

Move from document intake to decision and next step without waiting for manual coordination.

Lower operational burden

Reduce the repetitive work of routing, checking, escalating, updating, and following up.

More consistent decisions

Apply the same rules, thresholds, and workflow logic across every case.

Better exception handling

Surface missing information, policy conflicts, low-confidence outputs, and high-risk cases earlier.

Stronger auditability

Capture the evidence, reasoning, confidence, and action trail behind each workflow step.

A safer path to agentic AI

Give teams automation that can act, but only within the boundaries the enterprise defines.

Use cases

For workflows where the next step matters.

Claims operations

Routing and adjudication follow-through.

Route clean claims forward, escalate suspicious cases, request missing documents, or prepare adjudication summaries.

✓ auto-approve
↑ escalate fraud
ⓘ request docs
Compliance ops

Validation and remediation.

Check extracted facts against policy rules, flag exceptions, assign remediation tasks, and record the action path.

✓ pass policy
↑ flag exception
ⓘ assign task
Prior authorization

Healthcare workflow execution.

Validate required documentation, compare evidence against plan rules, escalate incomplete cases, and prepare review packets.

✓ auto-approve
↑ escalate gap
ⓘ build packet
Banking & lending

Underwriting workflow follow-through.

Move loan files through underwriting steps, flag missing documents, route exceptions, and update case systems.

✓ advance file
↑ flag missing
ⓘ notify LO
Government casework

Case processing with audit trail.

Advance complete applications, escalate eligibility issues, request supporting records, and maintain an auditable decision trail.

✓ advance case
↑ escalate issue
ⓘ request record
Service operations

Document-driven follow-ups.

Trigger follow-ups, correspondence, reviews, approvals, renewals, onboarding steps, or back-office workflows based on document context.

✓ trigger renewal
↑ route review
ⓘ send notice
OmniSuite™

Polaris is the final layer in the content-to-action pipeline.

Polaris depends on the intelligence created upstream. Chicago organizes the content. Nashville extracts the facts. Orion explains what the evidence means. Polaris decides what should happen next and moves the workflow forward.

Chicago
What is this document?

Classifies and separates mixed document streams.

Nashville
What facts does it contain?

Extracts fields, tables, entities, handwriting, clauses, and relationships.

Orion
What does the evidence say?

Generates grounded answers, summaries, recommendations, and decision support.

Polaris
What should happen next?

Routes, escalates, validates, triggers, coordinates, and logs workflow actions.

Chicago creates order. Nashville creates data. Orion creates insight. Polaris creates follow-through.

Availability

Polaris is the next step in Haystac’s platform roadmap.

Polaris is coming Summer 2026, with early access and partner previews available now. It is designed as the governed agentic layer that completes the OmniSuite™ pipeline: from document intake to structured data, grounded reasoning, and operational execution.

Summer 2026
General availability. Early-access and partner previews are open now — talk to us about including your team in design partner cohorts.
Alpha

Document QC

Task-based orchestration for transaction-centric environments where document quality, completeness, and review routing matter.

Alpha

Dynamic pipeline orchestration

Agent-driven workflows across repositories, case systems, external tools, and long-running enterprise processes.

FAQ

Common questions about Polaris.

What does Polaris actually do?

Polaris uses document context, extracted facts, grounded insight, workflow state, and business rules to recommend, trigger, or execute the next operational step.

Is Polaris just workflow automation?

No. Traditional workflow automation follows fixed rules. Polaris is designed to reason over context, choose the right tool or step, observe the result, and escalate when needed.

Does Polaris make decisions automatically?

It can support different levels of automation depending on customer rules. Routine actions can be automated. Sensitive or low-confidence cases can be escalated to human review.

What does Polaris use as input?

It uses classification from Chicago, structured extraction from Nashville, grounded reasoning from Orion, business rules, workflow state, and connected system context.

Can Polaris work with external systems?

Yes. Polaris is designed to invoke internal Haystac services and external systems such as APIs, databases, case management tools, workflow engines, and enterprise applications.

How does Polaris stay auditable?

It records inputs, outputs, confidence scores, tool calls, rationale, actions, and escalation paths so teams can review what happened and why.

When is Polaris available?

Polaris is planned for Summer 2026, with early access and partner previews available now.

Ready when you are

Move from understanding to execution.

Polaris turns classified content, extracted data, and grounded insight into governed workflow action — so teams can route, escalate, validate, and execute with control.

We enable highly regulated organizations to build, govern, and operate domain-specific models within their own infrastructure and governance frameworks.