[what we do]We build custom AI systems for regulated, compliance-bound businesses.
Assess · Build · Operate
AI that does the work. You that stays in control.
We build custom AI systems for insurance agencies, financial advisory firms, and medical billing teams. Each system is designed around your specific workflows, intake, renewals, certificates, communications, claims, and every output waits in a human-approval layer until your team signs off. Not a chatbot. Not a generic integration. A system built for how your operation actually works.
Illustrative example, not a client result. Every draft waits for a human. The number that always stays at zero is the one that matters.
01
One methodology. Three phases. Every engagement.
Every engagement follows the same sequence, Assess, Build, Operate. No build is sold until the Assessment has mapped your workflows and priced the opportunity. No system goes live until you've reviewed and approved every component.
The Oversight Layer™, Assess · Build · Operate · Human checkpoint at every stage.
01
Assess [scoped]
We audit your back-office workflows, the manual ones your team repeats daily. We map what AI can safely take on, identify where the compliance exposure sits, and deliver a written scope with a fixed implementation price. The Assessment is a paid engagement scoped to your business. No build sold until you've seen the opportunity clearly priced and agreed in writing.
Human checkpoint, Scope document reviewed and signed off by you before any configuration begins. Nothing is assumed; everything is named.
02
Build [supervised]
We configure the AI workflows, wire in the approval inbox, install the audit log, and set up role-based access. Every output template is reviewed and approved by your team before the system goes live. The Oversight Layer™, approval queue, kill switch, audit trail, is built in, not bolted on. Scope and price are fixed from the Assessment; no surprises mid-build.
Human checkpoint, You review and approve every workflow before activation. Edge cases and out-of-scope scenarios are escalated to a human, never guessed at.
03
Operate [audited]
The system runs. Your team works from the approval inbox, reviewing AI drafts, approving, sending. The audit log captures every action: what the AI drafted, who approved it, when it was sent. You always know what happened and have the record to prove it. Ongoing Managed AI Ops retainers cover monitoring, optimization, and regulatory update support.
Human checkpoint, The dashboard is yours. One-click pause. Full export of the audit log at any time. You own the data; we run the infrastructure.
02Example systems
The systems we build.
Each one is built custom for a specific workflow in your operation, not configured from a template. Your Assessment identifies which apply to your business and prices the build. Every system runs inside the Oversight Layer™ from day one: approval inbox, kill switch, full audit trail.
[ insurance ]
COI Desk
Reads the incoming certificate request, pulls the policy from your AMS, drafts the COI, and places it in the approval inbox. Your agent confirms and sends. The E&O audit trail is written on every step.
2 minutes on what used to take 20
[ insurance ]
Renewal Engine
Watches your book for accounts renewing in 90 days, pulls prior-term data, drafts the remarketing pack and the client communication, queued for your agent to review.
Hours of renewal prep becomes a 10-minute queue review
[ insurance / advisory / billing ]
Intake Digitizer
Extracts structured data from ACORD forms, carrier docs, onboarding packets, and EOB files, enters it into your AMS or CRM, and flags missing or conflicting fields for a human.
Manual keying gone, your staff handles only the edge cases
[ all verticals ]
Follow-up Desk
Monitors open items, pending client responses, unsigned documents, outstanding endorsements, and drafts the follow-up for each, queued for your staff to review and send.
Nothing depends on someone remembering
[ medical billing ]
Appeal Drafter
Categorizes denied claims by reason code, pulls the supporting documentation, and drafts the appeal letter. A licensed biller reviews and approves before anything submits. HIPAA-aligned handling throughout.
Appeals drafted the day the denial arrives, not the week after
[ advisory / insurance ]
Client Communication Queue
Drafts recurring and triggered client communications inside language parameters your compliance team has approved. Every draft waits in the approval inbox, logged and timestamped, before it sends.
Communication volume scales, compliance exposure does not
[ advisory / billing ]
Evidence Pack Builder
Assembles the documentation package for a claims review, SEC exam preparation, or payer audit from your existing records and the audit trail, formatted for submission.
A half-day documentation task, ready in the time it takes to review
[ all verticals ]
Reporting Autopilot
Pulls data from your AMS, CRM, or billing platform on a schedule and assembles internal reporting: denial rates, renewal pipeline, portfolio snapshots, ready for staff review.
Reports arrive ready, on schedule, no spreadsheet pulls
+
The Oversight Layer™, Control Plane
Foundation, deployed with every system above
The Oversight Layer™ is not a separate add-on. It is the governance infrastructure every system above runs inside. Approval inbox. Kill switch. Audit log. Role-based access. Escalation rules for out-of-scope scenarios. Disclosure language where disclosure is required. Built in to every workflow we deploy, not bolted on after the fact.
Why it matters: In insurance, advisory, and healthcare billing, the professional is personally liable for every client interaction. The Oversight Layer™ is how you use AI while keeping that liability under control. [Not legal advice, we coordinate with your counsel.]
The Oversight Layer™ is the checkpoint. Every engagement includes it. There is no version of our work without it.
Capability descriptions are illustrative of the type of work we do, not documented outcomes. Regulatory references are for context only and do not constitute legal advice; requirements vary by business type, state, and regulatory body.
03
What the governance model looks like in practice.
Illustrative workflow example, not a documented client result.
Scenario, Insurance Agency, COI Request
9:14 AM, Client emails: "Need a COI for my new contractor, need it by end of day."
9:14 AM + 18 sec, AI reads the request, pulls the relevant policy from AMS, drafts the COI with the correct certificate holder details, and places the draft in the agent's approval inbox.
9:16 AM, Agent reviews the draft in the approval inbox. Confirms policy details are correct. Clicks approve.
9:16 AM + 4 sec, COI sent to client. Audit log entry written: request received, AI draft generated, agent approved, document sent. Timestamp on each step.
End of day, Client has their COI. Agent spent 2 minutes. E&O audit trail is complete. No step was unreviewed.
Illustrative example, not a client result. Scenario shown for demonstration of the governance model only. Actual workflow depends on your AMS, policy types, and certificate holder requirements.
04
Three industries. Specific regulations, specific work.
We work in three regulated verticals. Each has a specific compliance exposure, a specific set of back-office workflows AI can safely take on, and a specific governance architecture required.
Insurance Agencies
AI Policy-Ops & Renewal System
COI processing, AMS intake automation, renewal prep, and remarketing sequences, all with a human-approval queue and E&O audit trail baked in.
TCPA exposure and E&O liability attach to every client communication. Our governance layer addresses both by design.
Governed client communications, AI-assisted meeting notes and follow-ups, and a full audit log built to support SEC exam preparation under the Marketing Rule (Rule 206(4)-1) and supervisory review requirements.
Every client interaction must be reviewable. Rule 206(4)-7 requires reasonably designed written compliance policies; FINRA Rule 3110 applies to FINRA-member broker-dealer firms.
AI-assisted claims review, coding flag detection, and denial-pattern analysis, with a human approval queue before submission and HIPAA-aligned data handling throughout.
HIPAA-covered workflows require human review at key steps. AI dramatically increases throughput without removing the required checkpoint.
Industry pages are in development. Regulatory references are for context only, not legal advice. Compliance requirements vary by state, firm type, and regulatory body.
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05
How the work actually gets done.
We build alongside your existing stack where possible. For insurance agencies, we integrate with your AMS. For advisory firms, we work within your CRM and communication tools. For billing teams, we connect to your practice management or billing platform. In some cases a specific integration tool is needed, that's identified and costed in the Assessment, not discovered mid-build.
Your team works from an approval inbox. When the AI drafts an output, a COI, a client follow-up, a claims correction, it goes into the inbox, not out the door. A licensed team member reviews it, edits if needed, clicks approve. Then it sends. The audit log records the AI draft, the reviewer, the approval, and the timestamp. If a reviewer is unavailable, the item waits. Nothing escalates past the inbox without a human decision.
The human checkpoint exists precisely for this. Nothing the AI drafts reaches a client or gets filed without a licensed person reviewing and approving it. When the AI is uncertain or encounters a scenario outside its configured parameters, it flags for human handling rather than guessing. The audit log shows every step, if a mistake does occur, you have a complete record of what happened and who approved what.
The AI only generates outputs within the parameters your team has approved during the Build phase. Coverage language, compliance-sensitive terms, advice boundaries, pricing disclosures, all of it is locked into the workflow configuration before the system goes live. Out-of-scope requests are flagged and escalated, not improvised. Your playbook is the boundary; the AI operates inside it.
The Oversight Layer™ is designed so a licensed professional reviews and approves every AI output before it reaches a client or is acted upon. The audit log records who approved what, and when, the kind of contemporaneous record that supports defensibility in an E&O claim, helps you produce the records examiners ask for in an SEC review, satisfies FINRA Rule 3110 supervisory review requirements for broker-dealer and FINRA-member firms, and demonstrates the human review that HIPAA-covered workflows require. This is architecture for compliance, not a compliance guarantee. We work alongside your counsel and compliance team to ensure the implementation meets your specific obligations.
Every engagement starts with a free 20-minute fit call. If it is a fit, the paid AI Opportunity Assessment maps your back-office workflows, identifies where AI can safely do the work, and delivers a written scope with a fixed implementation price. No build is sold until the Assessment is complete and you've agreed to the scope in writing. We confirm pricing on the call and in writing before any work begins.
Start with a free fit call.
See exactly what AI can safely do for your operation.
The AI Opportunity Assessment maps your back-office workflows, identifies where AI can do the work safely, and delivers a written scope with a fixed implementation price. You see the full picture before any build begins.