Decision support
Turn information into reviewable insight.Organize evidence, summarize context, and highlight exceptions so teams can evaluate a recommendation with its supporting material.
CAPABILITIES & SERVICES
Agentic AI Solutions
Design AI-assisted and agentic workflows with explicit responsibilities, human checkpoints, and clear operational boundaries.
Bounded action. Visible oversight.
- 01Permitted context
- 02Task orchestration
- 03Human checkpoint
PURPOSEFUL AUTOMATION
Give AI a defined job.
Keep people in control.
An agentic workflow coordinates several steps toward a defined goal: gathering approved information, using permitted tools, and preparing an output for review. Its usefulness depends on clear boundaries, reliable evidence, and a named owner for the outcome.
Workflow automation
Coordinate repeatable work across steps.Connect information gathering, checks, and draft preparation within the tools and permissions defined for the process.
Human oversight
Review, override, and audit.Place approval checkpoints where judgment is needed. Give reviewers a way to correct outputs, reject suggestions, and trace decisions.
Regulated operations
Design for scrutiny from the start.Specify data access, evidence retention, decision ownership, and review requirements for sensitive or regulated workflows.
A GOVERNED AGENT WORKFLOW
Context in. Reviewable action out.
- 01
Ground
Use approved sources and the context needed for the task.
- 02
Orchestrate
Sequence bounded steps and call only permitted tools.
- 03
Review
Bring exceptions and approval requests to the right person.
- 04
Evaluate
Assess quality, failures, and escalation behavior before expanding.
When the workflow reaches a boundary
Incomplete evidence, unavailable tools, or a request outside its permissions should trigger a stop or escalation to the defined owner.
Evaluation informs the next iteration of sources, permissions, and workflow design.
CLEAR RESPONSIBILITY
Automate the preparation.
Make decision ownership explicit.
AI ASSISTANCE
Within the approved scope
- Gather and organize permitted information
- Run defined checks and surface exceptions
- Prepare summaries or draft recommendations
- Record the steps and evidence used
HUMAN AUTHORITY
At the decision boundary
- Set goals, access rules, and approval conditions
- Review evidence, uncertainty, and exceptions
- Approve, revise, reject, or override outputs
- Own consequential decisions and follow-up
Access boundaries
Which data and tools may be used?
Approval gates
Which steps need authorization?
Audit record
What evidence and decisions must be retained?
Evaluation criteria
How will quality and failure behavior be assessed?
WHERE THIS SHOWS UP
Connected to real operational work.
These product examples show how evidence, bounded assistance, and human review fit together. Specific features and deployment scope are confirmed for each engagement.
AAD
AI-assisted appeals that prioritize denials, assemble evidence, and prepare responses for staff review.
- Denied claim
- Evidence-backed draft
- Staff review
ACE
Clinical coding support with source evidence, confidence information, and a reviewable record.
- Clinical context
- Code proposals
- Specialist review
TRIP
Trade-risk intelligence that connects shipment signals with explainable screening and officer decisions.
- Trade signals
- Risk context
- Officer decision
Field-Mate
Protocol-guided field assistance connecting preparation, evidence capture, and reviewed reporting.
- Protocol
- Field evidence
- Reviewed report
DESIGN THE WORK BEFORE THE AUTONOMY
Start with a bounded use case.
Operational owners, AI delivery teams, and governance reviewers define the goal together. Agree what the agent may do, where it must ask for help, and what the reviewer needs to see.
Assist a multi-step review
Separate evidence gathering, summarization, and recommendation from the final decision. Define which steps the agent may perform and what a human reviewer needs to see before approving an action.
Connect an agent to tools
Specify the permitted operations, required inputs, and conditions that should stop execution. Design for incomplete data, unavailable services, and situations where the agent must ask for help.
Assess readiness before expansion
Test representative cases, including ambiguous and unsuccessful outcomes. Review errors and escalation behavior before increasing the scope of autonomous work.
FROM USE CASE TO EVALUATION
Define the conditions for useful autonomy.
Name the process owner
A bounded use case with a named process owner
Define permitted access
Approved data access and tool permissions
Set review & quality criteria
Evaluation criteria, approval gates, and escalation rules
THE INTENDED OUTPUT
A defined agent workflow, permission boundaries, review checkpoints, and an evaluation plan.
YOUR NEXT MISSION