Services businesses
Staffing, agencies, MSPs, field-service operators.
We cut the senior hours behind proposals, memos, transcripts, and onboarding.
Forward-deployed AI
Working systems, not strategy decks. We build AI inside the workflows that move your P&L, and your team owns what ships.

Every team has model access. Few have working deployments. Turning one into the other is the craft, and it's what we build.
Sandbox pilots don't count. The teams that win this decade will run AI inside the work itself, in production.
A working system moves your numbers. We ship on your infrastructure and measure against the outcomes you'd put on a board slide.
The engineer who diagnoses is the engineer who ships and hands off.
Most established operators aren't average. Bespoke software used to take a year. With AI, a system built around how you actually work ships in weeks.
However you start, the price is fixed up front and your team owns what we build.
2–3 weeks
We embed, map your workflows, and ship the first one to production. You get the ROI math for the rest.
8–12 weeks · fixed fee
We build the system inside your workflow and ship it to production on your infrastructure. Your team is trained by launch.
Ongoing retainer
Fractional AI leadership after the first system ships. We add deployments, measure honestly, and handle model migrations.
Industries
If your business runs on workflows, judgment, and documents, you have the most to gain.
Staffing, agencies, MSPs, field-service operators.
We cut the senior hours behind proposals, memos, transcripts, and onboarding.
Manufacturers, plant operators, industrial OEMs.
We capture tribal knowledge from inspection reports and work orders, and run vision QA on the line.
Industrial distributors, specialty wholesalers, dealers.
We clean ERP records, enable reps, and match messy specs to your catalog.
Provider networks, billing groups, ambulatory operators.
Revenue cycle, prior auth, intake, and scheduling. We don't touch clinical decisions.
Accounting, law, consulting, real estate, insurance.
We raise the floor on associate work and free partners for the work clients value.
What we deploy
Each one built to order and shipped to production inside your workflow.
Requests arrive as messy emails and PDFs. We parse them, match lines to your catalog and pricing, and draft the quote for a rep to approve.
Quotes out the door in minutes.
Most quotes never get a second touch. We watch the open ones, draft timely follow-ups, and flag the likeliest to close.
Conversion up, no added headcount.
Rebate terms live in spreadsheets and claims go unfiled. We pull every contract into a live ledger and flag unclaimed money before it expires.
Recovered margin, often six or seven figures.
Models are commodity. Deployment is craft.
One senior engineer, inside your operation, from first workshop to final runbook. Accountability never changes hands.
We sit with the people doing the work and find where AI moves your cost lines. The first workflow is live before you've finished reading the plan.
We build inside your workflow, wired to your tools, with a person in the loop wherever judgment matters. We pick whichever model wins on your work.
We train your team, write the runbooks, and stay live through the first month. We measure ourselves by how quickly you don't need us.
Every engagement ends with the working system and the kit your team needs to own it.
We find the workflow where AI pays back fastest, build the system inside it, and ship it to production on your infrastructure. A diagnostic runs two to three weeks with one workflow live. A full build ships in eight to twelve. The price is fixed up front, with no hourly billing and no change-order creep. At handoff it's yours, or we stay on and run it with you.
Accipiter is founder-led. Patrick McGovern runs every engagement personally. When a build needs more hands, you meet the named senior engineers before work starts.
On your systems, in accounts you control, never routed through our servers or used to train external models. For regulated industries we work to HIPAA and SOC 2 standards and go through your security review before kickoff. Models are benchmarked on your actual work (Claude, GPT, Gemini, open-source) and picked on merit.
Every deployment starts with a person in the loop: the system drafts, your people approve. Nothing customer-facing goes out on its own until it has earned that autonomy against a test set built from your own work.
A few hours with the people who do the work, a contact who can grant system access, and thirty minutes a week with a decision-maker. Training and change management are on us. By handoff, your team runs the system.
You do. Code, prompts, evals, and runbooks live in your repo, on your infrastructure. After handoff you can run it yourself, bring us back for an expansion, or move to an Operate retainer.
We take on a few engagements at a time. The first call is thirty minutes. Tell us what you're trying to change and you'll get an honest answer on whether we can help.