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AI implementation for regulated business

Working AI, inside the businesses that cannot afford to get it wrong.

Tenorworth puts deployed agents, retrieval over your own documents, and workflow automation inside healthcare, financial, legal, and operations-heavy companies. Safely, on a fixed scope, with a measured return.

A signed one-page agreement and a fountain pen on a walnut conference table, with the Los Angeles skyline through the window

Not strategy decks. Deployed systems.

Most AI advice stops at the recommendation. We start there. The work is putting a system into production, on your data, behind your access controls, and proving it earns its keep.

That means the unglamorous parts are the whole job: the data boundary, the audit log, the fallback when the model is unsure, the training for the people who will use it, and the number you report to the board.

What a deployed workflow looks like

How a deployed workflow runs: intake, an agent drafts, a confidence check routes to human approval or to a person, then action; every step writes to the audit log Intake Agent drafts Confidence check Above threshold Human approves Below threshold Routed to a person Action Audit log: who, what, when, which model, which documents

A person stays in the loop. The model drafts; a human approves anything above the confidence threshold and handles anything below it. Every step is written to a log your auditor can read.

Three ways to engage

Fixed scope. Fixed price. A number at the end.

The engagement arc: a two-week Roadmap, a four-to-six-week Pilot, then a monthly Fractional Architect retainer Roadmap · 2 weeks A ranked plan Pilot · 4–6 weeks A working system, measured Fractional Architect · monthly A program that compounds
01 Two weeks

AI Readiness Roadmap

A fixed-fee assessment of where AI will pay back inside your operation, what data and governance are already in place, and what is missing. You leave with a ranked plan, not a slide deck.

02 Four to six weeks

Pilot

One workflow, your real data, a working system your staff use. Scope, success metric, and data boundaries are agreed in writing before a line of code is written.

03 Monthly retainer

Fractional AI Architect

Senior ownership of your AI program without a full-time hire. Vendor decisions, model governance, staff enablement, and the next pilot, with the same person accountable throughout.

Who we serve

Southern California businesses where trust is the product.

Small and mid-market operators with real compliance obligations and no appetite for experiments that put them at risk. One workflow each, to start.

Why Tenorworth

The compliance questions get answered before the demo, not after.

Governance before the demo: a typical vendor demos in week one and stalls on five governance questions in weeks five to eight; Tenorworth answers them in week one, demos in week three, and is live by week six Week 0 Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Typical vendor Demo ? Audit trail ? Access control ? Data boundary ? Retention ? Model risk Stalled Tenorworth Five questions answered Demo Live Audit trail · Access control · Data boundary · Retention · Model risk. Answered before anyone sees a prototype.

Governance before the demo

Audit trail, access control, and data boundaries are designed first. The questions your compliance officer will ask get answered before anyone sees a prototype.

Fixed scope, fixed price

Every engagement has a written scope, a price, and a success measure. If the measure is not met, that is our problem to solve, not yours to absorb.

Systems your staff actually use

The test of a deployment is adoption. We build for the person doing the work on a Tuesday afternoon, not for the steering committee.

Seventeen years in regulated rooms

Built and shipped inside JPMorgan Chase, Scotiabank, Royal Bank of Scotland, KPMG, Highmark Health, and a $5B specialty insurer. We know what an examiner looks for and what a clinical director will not tolerate.

Start with a conversation, not a proposal.

Thirty minutes. Bring the workflow that costs you the most time, and the compliance question you assume will block it. We will tell you honestly whether AI belongs there.

The call is with Arka Bala, Principal AI Architect. The person who scopes the work is the person who builds it.