The moves behind every build.
The same four steps run under every package: map the highest-return moves, source vendor-neutrally, ship to production, and measure the result.
See the highest-return moves first.
We plot every opportunity by impact and effort against your real data, so the first move is obvious and defensible to your board. It is the same analysis that points you to the right package.
- opportunities mapped
- 6
- defensible first move
- 1
- to a decision
- 2 wk
opportunities mapped
defensible first move
to a decision
Shapes every engagement
Worked example · a 40-person B2B software firm, 3 disconnected tools
What you're looking at — Every AI opportunity we found plotted by business impact against build effort. The highlighted point is the one we would start with: high impact, low effort, and reachable with the data they already have.
A vendor-neutral shortlist, scored.
We continuously evaluate the B2B AI market and rank platforms only on your fit, security, and total cost, never on who pays us. (No one does.) The tools inside your build are chosen the same way.
- vendor commissions
- 0
- scored finalists
- 3
- criteria shown to you
- 100%
vendor commissions
scored finalists
criteria shown to you
Shapes every engagement
Worked example · choosing the model layer for a regulated client
SOC 2 · EU hosting · no lock-in
Strong fit · higher run cost
Capable · thinner integrations
Partial coverage of requirements
We take no kickbacks. Platforms are ranked only on fit, security, and total cost to you.
What you're looking at — The same shortlist we would hand you: each platform scored on fit, security posture and total cost for YOUR case. We take no commission from any vendor on this list, so the ranking has nothing to sell you.
From pilot to production, monitored.
We wire AI into your existing stack over real APIs, then ship it to production with testing, observability, and a clear owner at every stage. That is the delivery rigor behind every build package.
- gated stages
- 5
- named owner per stage
- 1
- unreviewed merges
- 0
gated stages
named owner per stage
unreviewed merges
Build & Foundations · Software Developer Agent Teams, In-House AI LLMs
Worked example · shipping a scoring service into an existing CRM
What you're looking at — The delivery pipeline a build actually moves through — branch, tests, review, staging, production — with the owner named at each stage. Nothing reaches production without a passing test run and a human approving it.
Watch the work, and the numbers, move.
Manual work gets automated and raw data becomes decision-grade intelligence, with the impact tracked live in metrics your leaders can act on. That is proof a package is earning its keep.
- metrics, not a report
- Live
- trend from go-live
- 90d
- screen for the exec team
- 1
metrics, not a report
trend from go-live
screen for the exec team
Across Sales & Revenue and Growth & Demand
Worked example · 90 days after an automation build goes live
What you're looking at — The operating view your leadership gets after go-live: hours returned to the team, work handled without a human, and the trend line for each. If a build stops earning, this is where it shows first.
Let's build your version.
Schedule a free 30-minute meeting and we'll map these same moves to your operations: vendor-neutral, end to end.