AI Agents - Built, Integrated, and Managed for Healthcare and Financial Services
We design agents for specific operational tasks, connect them to approved systems, and agree on access, review, and escalation with the teams responsible for the work.
Useful agents start with a clear job and clear limits
A task worth automating
We start with a workflow that repeats, name the information it needs, and agree where a person should review the result.
Limited access
We connect an agent only to approved tools and data, with permissions scoped to the people and systems involved.
Visible exceptions
Requests that need a decision or fall outside the agreed rules go to the right person with context attached.
Ongoing review
We review quality and exceptions with your team, then update instructions and integrations as the work changes.
Where agents can help
Intake and triage agents
For agreed intake channels, an agent can extract key information, prepare a summary, and route a request for the next step, with exceptions available for review.
Where it fits: Referral intake, support ticket triage, client onboarding requests, document receipt.
Document processing agents
With approved access, an agent can extract fields from incoming documents and flag missing or inconsistent details before a person or workflow uses them.
Where it fits: Prior authorizations, contract review, credentialing documents, compliance submissions.
Decision support agents
At selected decision points, an agent can gather relevant records and approved guidance for a person to review; it does not replace their judgment.
Where it fits: Approval workflows, clinical decision support, underwriting reviews, exception handling.
Knowledge and query agents
An agent can retrieve approved SOPs and policies to answer scoped questions, with access limited to what that team is allowed to see.
Where it fits: HR policy questions, compliance inquiries, client-specific context retrieval, onboarding support.
Reporting and monitoring agents
An agent can prepare summaries from approved operational data and flag patterns for a person to review.
Where it fits: Compliance monitoring, operational dashboards, exception reporting, capacity alerts.
Exceptions surfaced in hours instead of weeks
A financial services team connected review rules to its operational systems so exceptions were easier to find and resolve.
Read the case studyFrom scope to ongoing review
- 01
Define scope and guardrails first
Define the task, the systems it may use, and the cases that require a person's review before building.
- 02
Connect to your systems, securely
Connect approved systems with permissions matched to the job, then test the data moving in and out.
- 03
Tune to your voice, policies, and workflows
Use approved knowledge and instructions for the task and check results with the people who do the work.
- 04
Build in the human checkpoints
Make approvals and escalation visible to staff; people stay responsible for decisions that need judgment.
- 05
Maintain, monitor, and improve
Review output quality, exceptions, and changes to the underlying workflow; update the configuration as needed.
Discuss your AI priorities
Tell us how your team uses AI and where work gets stuck. We'll explore what to look at next and whether governed access, an assessment, or an agent build fits.
Let's talk about what you're trying to change.
A discovery call is where we learn about your goals and where work gets stuck, explore whether we're a fit, and agree on whether a deeper review or service conversation makes sense next.
- No prep required
- A conversation about your goals and constraints
- Optional deeper review if it makes sense