Ways to engage
Where to begin.

Every engagement starts with First Arrow. What it finds sets up Gap Shot, and Gap Shot sets up the builds. Founder-led in every case.

01 · DrawStart here
First Arrow

A time-boxed proof sprint. Structured discovery sessions with you and the people who do the work daily, then your build candidates ranked and one built as a working proof of concept. You see it work before you commit to anything larger.

2–3 weeks · Time-boxed · Fixed scope
What you receive ↓
Who it’s for
Owners and finance leads at 10–350 person companies with a small IT team or none, already paying for an AI tool.
The problem
Everyone has AI licenses. Nobody has a process. The hours still go where they always went.
Why it’s worth it
Fixed scope, two to three weeks, and you keep the plan either way.
How you’ll know
You watch the proof of concept run at the readout, on data built to match your workflow.
0
Candidates Presented
0
Proof of Concept Built
0
Candidates in the Plan
0
Kickoff to Readout
02 · Hold
Gap Shot

The embedded discovery that follows First Arrow, about four weeks. Your First Arrow proof of concept keeps running while we build a second from the top candidate, rank candidates by department across the operation, and deliver an implementation roadmap.

About 4 weeks · Two proofs running
Start the conversation →
Who it’s for
Teams that finished First Arrow and want the rest of the operation mapped.
The problem
One proof shows AI works in one place. It doesn’t tell you where to aim next, from finance and purchasing, to sales and lead generation, and across other departments.
Why it’s worth it
The first proof keeps running while the second is built, so you decide on real use, not projections.
How you’ll know
Both proofs, measured in real use, before you commit to a build.
03 · Release
Armory
The tools you keep, in the AI platform you already use

The candidates you choose, taken to production quality. By default, they live inside the AI platform your team already uses: Claude, ChatGPT or Copilot. We blueprint each workflow with the people who run it, build it, and hand it to your team with documentation. Monthly upkeep keeps it running after handoff.

Production quality · Your AI platform
See use cases →
Who it’s for
Teams with a ranked candidate they’ve decided to build.
The problem
A proof isn’t production. It needs your workflow, your people and upkeep.
Why it’s worth it
Built inside the AI platform you already pay for. No new software to buy.
How you’ll know
Measured results against your baseline at the results readout.
What you receive
01 · Draw
First Arrow
01
Proof of Concept
One of your top three, built and demonstrated at the readout, then handed to your team to test internally.
02
Executive Summary
A synopsis of what we found and where Gap Shot would aim next. Built for your champion to carry to other leaders.
03
Ranked Matrix
Build candidates scored against our published method, so you see the weights. The top three are presented.
04
The Plan
A roadmap for all three candidates, one you can follow with or without us.
05
Founder Readout Session
A working session with the founder to walk the findings, pressure-test the plan, and see the proof of concept run.
02 · Hold
Gap Shot
01
Validation
First Arrow’s three candidates, tested against what a wider discovery finds.
02
Ranked Register
Candidates ranked by department, across the operation.
03
Readouts & Roadmap
Both proofs run the whole phase. You get a readout of how each performed in real use, and a roadmap for what ranks highest.
03 · Release
Armory
01
Workflow Blueprint
The workflow mapped with the people who run it: systems, handoffs, and exactly where the tool will sit.
02
The Working Tool
Built to production quality inside the AI platform you already use, and handed to your team with documentation. Upkeep is available monthly.
03
Results Readout
Measured results against the baseline, reviewed with the founder, and a clear read on what is worth building next.
Why precision
The case for precision over volume.

Spread across every tool at once, AI spend stops being an advantage and turns into overhead.

85%
of C-suite executives say they have deployed AI across some or all of their organization
54%
of managers rate AI as a high priority
Executives believe the transformation has already happened. The managers who run the day-to-day see something different. Closing that distance is organizational work, not a software purchase.
Nitro, July 2026 · two surveys: 239 C-suite executives (US, UK, Canada) and 1,100 managers & directors
$4.4T
The top of McKinsey's estimate ($2.6T–$4.4T) of the annual value generative AI could add across 63 use cases.
McKinsey, June 2023
Everyone owns the same tools now. The advantage is knowing exactly where yours should be pointed.
The hard boundary

Your data stays yours.

Written into the First Arrow engagement letter
Read-only, then synthetic.Before discovery, a readiness check reads your system without changing it and reports counts and rates only. You run it, or, for distributors, we run it through a read-only user you create and can revoke. The demonstration runs on synthetic or de-identified data we construct, and we never write to anything of yours.
No personal data.We don’t ask for, accept, or hold personal data about your customers, patients, or employees.
Returned or destroyed on request.On your written request, we return or certifiably destroy your materials, and certify it in writing.
Never a reference without consent.Nothing about the engagement becomes a case study or marketing without your written consent.