A working AI prototype for your team — in 2 weeks.
I build the thing. You decide if it's worth rolling out. If the prototype doesn't prove the business case, you don't pay the back half.
Fixed scope. Fixed price. 50% kickoff. 50% on delivery — and only if it actually works.
Dr. Renaldo "Jonesy" Jones, PMP · Doctor of Strategic Leadership ·
Microsoft Copilot Champion · Anthropic Claude Champion · 3 apps shipped across iOS, Android, web
You're not short on AI ideas.
You're short on proof.
I'll be real — most teams I talk to aren't stuck on "what could AI do for us?" They have a whiteboard full of ideas. What they're stuck on is proof.
You've got a workflow — onboarding, triage, proposal drafts, knowledge lookups, whatever it is — and you think AI could cut the time in half. Maybe more. But you can't commit six months and a half-million-dollar budget to "maybe." You can't hand a vendor a blank check and hope the demo holds up in production. And your team doesn't need another slide deck about "AI transformation" — they need something they can actually click.
That's the gap I fill.
One workflow. One prototype. Two weeks. Built against your real data, your real users, your real constraints — not a vendor sandbox. When you're done, you either have the proof to scale it, or you have the proof to kill it and move on to the next idea. Either answer is worth the sprint.
The AI Prototype Sprint — fixed scope, fixed price, 2 weeks.
Here's exactly what you get. No bloat. No retainer. No "let's scope it out" for three months and charge you for the meetings.
Best for: validating a single, scoped use case fast. Think — "can AI draft the first pass of this one report?" or "can it triage these specific tickets?"
- 20-min scoping call + written brief
- One working prototype (web app, internal tool, or agent workflow)
- Live walkthrough demo
- Handoff doc + 30-min Q&A with your team
Best for: the use case that actually matters — the one that, if it works, unlocks a real decision. Most of my engagements land here.
- Everything in Micro
- Deeper integration (Notion, SharePoint, a CSV, whatever you've got)
- RACE framework prompt library tuned to your domain
- Evaluation rubric your team can run without me in the room
- 60-min stakeholder readout
Best for: the executive sponsor who needs this in front of a leadership team, a board, or a budget committee. The prototype has to hold up under scrutiny.
- Everything in Standard
- Multi-step agent workflow (not just one prompt — a real pipeline)
- Cost + usage tracking so you can model rollout economics
- Governance notes: audit, PII handling, model-fallback logic
- 90-min executive debrief + written rollout recommendation
If the prototype doesn't prove the business case, you don't pay the back half.
50% on kickoff. 50% on delivery — and only if, on the readout call, you and your stakeholders agree the prototype warrants further investment. If it doesn't, we shake hands, you keep the artifact and the learnings, and we're done. No retainer, no auto-renewal, no ambiguity.
Three steps. That's the whole thing.
Scope
You book on Calendly. I come in with structured questions — what workflow, who touches it, what "success" looks like in a number you'd actually defend.
At the end of 20 minutes, we either have a clear sprint scope or we don't. If we don't, no one wastes a dime.
Build
I build. You get async check-ins every 2–3 days — shared Notion or private repo — with what shipped and what's blocked.
No 45-minute status calls. No "let's circle back." If I need something from you, I ask once, I ask specifically, and I move on.
Readout
Live demo with you and your stakeholders. I walk you through what the data showed, where the prototype is strong, where it's weak, and what rollout would actually cost.
You leave with three things: the artifact, the evaluation rubric, and an honest recommendation to scale, iterate, or kill.
Why I'm the person to build this.
I'm Dr. Renaldo "Jonesy" Jones — PMP, Doctor of Strategic Leadership, combat veteran (Army, OIF), and a full-time program director at a Fortune 1000 industrial company. I'm also Microsoft's Copilot Champion and Anthropic's Claude Champion, and the creator of the RACE framework for AI prompting — Role, Action, Context, Expectation.
Here's what that means in practice. I'm not a vendor pitching you a platform. I'm an operator who runs an AI-native workflow inside a real enterprise every day, and who happens to have shipped three apps — RACEprompt on iOS/Android/web, QuietPulse on iOS/Apple Watch, and F3 on iOS/Android — on nights and weekends using the same stack I'll use to build your prototype.
When I hand you a prototype, it works because I built it the way I build for myself. Production-grade fundamentals, no vendor lock-in theater, honest notes on what AI actually does well and where it's going to disappoint you.
Lead with AI. Not hype.
What you actually walk away with.
Every sprint ships the same shape of artifact — the details change with the use case. Here's a sample of what a Standard Sprint delivers.
Sales proposal first-draft generator
The workflow we prototyped
Sales reps spend ~3 hours drafting the first version of each proposal. 40% of those drafts get killed before the client sees them. Goal: cut first-draft time to under 30 minutes without dropping close-rate.
What I built
- A web tool where a rep pastes discovery-call notes + selects a deal tier
- Agent pipeline: extracts requirements → pulls the right case studies from a Notion knowledge base → drafts a RACE-structured proposal → flags sections that need human judgment
- Evaluation rubric: 12 blind-graded draft comparisons (AI-assisted vs. rep from scratch) scored on accuracy, tone, completeness
- Cost model: ~$0.14 per draft at current API pricing; breakeven at ~4 min of rep time saved per proposal
What the readout showed
- First-draft time: 3 hrs → 38 min on average (-78%)
- Close-rate: held flat over 31 proposals (within margin of error — not a drop)
- Rep satisfaction: 8/10 would keep using it; 2/10 wanted tighter tone control → addressed in rollout plan
What I handed off
- The working prototype (deployed, logins for 3 users)
- A 7-page rollout doc — what to scale, what to tighten, what's out of scope until Sprint 2
- The RACE prompt library (yours to own, no licensing attached)
This is a representative composite — every sprint ships the same shape of artifact, customized to your workflow.
Built for one kind of team.
- Companies in the 500–5,000 employee range — big enough that AI adoption has real stakes, small enough that we can move without a steering committee.
- VP of Learning & Development, VP of Innovation, or Director of Digital Transformation — the person who owns an AI pilot budget and has to defend the ROI.
- Teams with one specific workflow in mind — not "help us figure out our AI strategy" (that's different work, and I can point you to people who do that).
I'm not built for Fortune 500 procurement cycles. I'm not built for "let's do a 6-month discovery." If that's what you need, I'm the wrong fit — and I'll tell you on the scoping call.
Questions I get a lot.
Looking for open-ended strategy consulting instead of a fixed-scope sprint? See Strategy Advisory →
Retainer-shaped work — embedded partner, quarterly engagement, roadmap across multiple systems. Different product, different cadence.