Diagnostic.
2–3 weeks
We work alongside your team, map the workflows, and put the first one into production. You get the ROI case for the rest.
- Workflow and data audit
- One workflow live in production
- Ranked build list with ROI estimates
Forward-deployed AI
We build AI into the workflows behind your P&L, run it in production, and hand it to your team.

Every company can buy the models. Few have them running in production. We close that gap.
It counts when it runs inside the daily work and someone depends on it.
We build on your infrastructure and measure against the numbers you would put in front of a board.
The person who scopes the work builds it, puts it live, and hands it over.
Most established businesses are not average. Custom software used to take a year. It now takes weeks.
Fixed price, agreed up front. You own the system at handoff.
2–3 weeks
We work alongside your team, map the workflows, and put the first one into production. You get the ROI case for the rest.
8–12 weeks · fixed fee
We build inside the workflow and put it into production on your infrastructure. Your team is trained before launch.
Ongoing retainer
Fractional AI leadership after the first system is live. We add deployments, track results, and manage model changes.
Industries
Businesses that run on documents and judgment calls have the most to gain.
Staffing, agencies, MSPs, field-service operators.
We cut the senior hours spent on proposals, memos, transcripts, and onboarding.
Manufacturers, plant operators, industrial OEMs.
We capture the knowledge buried in inspection reports and work orders, and run vision QA on the line.
Industrial distributors, specialty wholesalers, dealers.
We clean ERP records, brief reps, and match messy specs to your catalog.
Provider networks, billing groups, ambulatory operators.
Revenue cycle, prior authorization, intake, and scheduling. We stay out of clinical decisions.
Accounting, law, consulting, real estate, insurance.
We automate the associate-level work so partners spend their time on what clients pay for.
Carriers, freight brokers, warehouse operators.
We process shipment documents, reconcile freight bills, and flag exceptions for your dispatch team.
What we deploy
Each one is built for your workflow and runs in production.
Requests arrive as messy emails and PDFs. We parse them, match line items to your catalog and pricing, and draft the quote for a rep to approve.
Quotes out in minutes.
Most quotes never get a second touch. We track the open ones, draft the follow-up, and flag the quotes most likely to close.
Higher close rate with the same headcount.
Rebate terms sit in spreadsheets and claims go unfiled. We pull every contract into one ledger and flag unclaimed money before it expires.
Recovered margin, often six figures or more.
The deliverable is a working system. Your team runs it, or we do.
One senior engineer inside your operation, from the first workshop to the final runbook.
We sit with the people doing the work and find where AI moves a cost line. The first workflow goes live during the diagnostic.
We build inside your workflow, connected to your tools, with a person approving wherever judgment matters. We use whichever model tests best on your work.
We train your team, write the runbooks, and stay on call through the first month. Then it's yours.
The working system, plus everything your team needs to run it without us.
We find the workflow where AI pays back fastest, build the system inside it, and run it on your infrastructure. A diagnostic takes two to three weeks and ends with one workflow live. A full build takes eight to twelve. The price is fixed up front. No hourly billing, no change orders. At handoff the system is yours, or we stay on and run it with you.
Accipiter is founder-led. Patrick McGovern runs every engagement. When a build needs more hands, you meet the engineers by name before work starts.
On your systems, in accounts you control. Nothing passes through our servers or trains an outside model. In regulated industries we work to HIPAA and SOC 2 standards and clear your security review before kickoff. We test Claude, GPT, Gemini, and open-source models on your actual work and use whichever performs best.
Every deployment starts with a person in the loop. The system drafts, your people approve. Nothing goes to a customer unattended until it passes a test set built from your own work.
A few hours with the people who do the work, someone who can grant system access, and thirty minutes a week with a decision-maker. Training and change management are on us.
You do. Code, prompts, test sets, and runbooks live in your repository on your infrastructure. After handoff you can run it yourself, bring us back for the next system, or move to a retainer.
We take on a few engagements at a time. The first call is thirty minutes. Tell us what you want to change and we'll tell you whether we can help.