For teams ready to move from AI experiments to AI results
The Business AI Accelerator is a fixed-price program that shows exactly where AI will make or save your company money — then builds the first production agents with your team, inside the tools you already use.
The familiar situation
If any of this sounds like your company, the Accelerator was designed for exactly this stage.
Different people use different AI tools in different ways. There is no shared view of which opportunity is worth company money.
AI proposals are hard to approve without value, cost and payback numbers — so even strong ideas stall in "maybe next quarter".
One person saves five hours a week with a clever prompt. The company gains nothing, because the win is not built as a reusable process.
With a dozen possible use cases and a limited budget, leadership hesitates — and competitors who moved first keep compounding their advantage.
None of this is a technology problem. It is a prioritization problem — and that is exactly what the Accelerator solves first.
Two routes, one decision
Every engagement starts with the same Business Scan. Where you go next depends on what the numbers say.
What changes
Not a report. A working system and the evidence to keep investing with confidence.
6–10 opportunities scored on value, feasibility, data readiness, security and adoption — with ROI and payback on each.
One workflow live end to end, used by the team daily — not a demo.
What one person knew becomes a process anyone can run.
Baseline numbers and success metrics agreed before the build, so value is measured, not asserted.
How we do it
For every function and process we assess the same six pillars, so the first build is a business decision, not a preference. Good AI works when business, process, technology, data, people and control work together.
Where the value comes from: model, revenue, customers, growth constraints, owner priorities.
How the work actually gets done: steps, owners, manual work, handoffs, rework, exceptions.
What the business runs on: CRM and ERP, project tools, comms, storage, reporting.
What AI can actually work with: where it lives, access, quality, flows, structure and formats.
Where knowledge and judgment live: who does what, specialist knowledge, key-person risk.
Where AI needs guardrails: sensitive data, access, human approval, auditability, reversibility.
How the Accelerator runs
The same backbone every credible assessment uses. About six hours of your team's time in total.
What each route delivers
The Scan is a one-off engagement at a fixed price. Everything it produces is yours.
The agent library
Every agent below is already designed, built and battle-tested in real companies. The Accelerator adapts the highest-ROI ones to your processes, your tools and your data — you are not funding R&D from zero.
What we need from you
The Accelerator is designed for companies without an internal AI team. Here is everything required from your side.
No production access required to start. Interviews, documentation and sample data are usually enough.
Proof
See how Curve moved from scattered AI ideas to 10 ranked use cases and a clear first-build decision.
Potential value was modeled from discovery inputs and agreed assumptions. Actual results depend on implementation, adoption and operating conditions.
potential annual value identified
hours/month modeled capacity
use cases ranked and costed
to run the whole Scan
FAQ
Next step
Thirty minutes is enough to size the work and put a fixed price on it. Even a company that never builds anything leaves with a costed, prioritized plan it owns.