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Forward-deployed AI

AI for the real economy.

We build AI into the workflows behind your P&L, run it in production, and hand it to your team.

Three hawks among branches, drawn in delicate teal lines

Deployment is where AI pays off.

Every company can buy the models. Few have them running in production. We close that gap.

A pilot is not a deployment.

It counts when it runs inside the daily work and someone depends on it.

Strategy decks are not the deliverable.

We build on your infrastructure and measure against the numbers you would put in front of a board.

One engineer, start to finish.

The person who scopes the work builds it, puts it live, and hands it over.

Off-the-shelf software fits the average company.

Most established businesses are not average. Custom software used to take a year. It now takes weeks.

Three ways to engage.

Fixed price, agreed up front. You own the system at handoff.

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

Build.

8–12 weeks · fixed fee

We build inside the workflow and put it into production on your infrastructure. Your team is trained before launch.

  • Connected to your existing systems
  • User training and runbooks
  • Support through launch

Operate.

Ongoing retainer

Fractional AI leadership after the first system is live. We add deployments, track results, and manage model changes.

  • Additional deployments
  • Model and vendor migrations
  • Board-level reporting

Industries

Who we work with.

Businesses that run on documents and judgment calls have the most to gain.

Services businesses

Staffing, agencies, MSPs, field-service operators.

We cut the senior hours spent on proposals, memos, transcripts, and onboarding.

Industrial & manufacturing

Manufacturers, plant operators, industrial OEMs.

We capture the knowledge buried in inspection reports and work orders, and run vision QA on the line.

Distribution & wholesale

Industrial distributors, specialty wholesalers, dealers.

We clean ERP records, brief reps, and match messy specs to your catalog.

Non-clinical healthcare

Provider networks, billing groups, ambulatory operators.

Revenue cycle, prior authorization, intake, and scheduling. We stay out of clinical decisions.

Professional services

Accounting, law, consulting, real estate, insurance.

We automate the associate-level work so partners spend their time on what clients pay for.

Logistics & transportation

Carriers, freight brokers, warehouse operators.

We process shipment documents, reconcile freight bills, and flag exceptions for your dispatch team.

What we deploy

Nine systems we deploy.

Each one is built for your workflow and runs in production.

Quote & RFQ automation

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.

Quote follow-up

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.

SPA & rebate recovery

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.

See all nine systems

The deliverable is a working system. Your team runs it, or we do.

How an engagement runs.

One senior engineer inside your operation, from the first workshop to the final runbook.

What you get at handoff.

The working system, plus everything your team needs to run it without us.

Workflow map
Current process, target state, human checkpoints.
ROI model
Hours saved, cycle time cut, where the numbers should move.
Test set
Cases from your workflow, scored against the outcomes the system has to hit.
Production repo
Code, prompts, and config, in accounts you control.
Runbook
How it works, what to do when it fails, who owns each part.
Monitoring notes
The checks that keep accuracy, speed, and cost visible.

Common questions.

How does an engagement work?

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.

Who will we actually work with?

Accipiter is founder-led. Patrick McGovern runs every engagement. When a build needs more hands, you meet the engineers by name before work starts.

Where does our data live? Is it secure?

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.

What happens when the system gets something wrong?

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.

What do you need from our team?

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.

Who owns the IP?

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.

Let's find out if there's something worth building.

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.