Why one workflow beats a transformation program.
The AI graveyard is full of transformations: eighteen-month roadmaps, steering committees, and platforms that never met a deadline. Meanwhile, the wins that stick almost always start the same way — one painful workflow, fixed properly, measured honestly.
The Sprint is built on that pattern. We take your highest-value opportunity — usually found in an Opportunity Audit, sometimes already obvious — and turn it into a solution your team runs without me. The process gets redesigned around the fix, because AI bolted onto a broken process just makes the broken process faster.
The dig you'd hear from my clients' vendors-past: automation was promised, dashboards were delivered. A Sprint ends with neither promises nor dashboards — it ends with a workflow that takes hours instead of days, and the numbers to prove it.
How the 90 days run
Weeks 1–2 — Design
- Success criteria defined in numbers: hours saved, error rates, adoption targets
- Workflow redesigned with the people who actually run it
- Tool selection — business-grade, privacy-cleared, budget-honest
Weeks 3–8 — Build, test, refine
- Working version in real hands early — the first version is never the final one
- Iteration against real work, not demo data
- Guardrails: data rules, human review points, quality checks
Weeks 9–12 — Embed and hand off
- Team training on the redesigned workflow
- Implementation playbook — how it works, how to maintain it, how to extend it
- Results measured against week-one criteria · Handoff: your team owns it
Fixed fee, quoted after the free call. Depending on the project, Canadian government AI-adoption funding (NRC IRAP and related programs) may apply — I help identify what's available.
The workflows sprints fix first
Quotes, estimates, and proposals rebuilt from scratch by senior people. Reports and handovers done from memory. SOPs living in someone's head. Intake and email triage burning skilled hours. Answers buried in files that cost twenty minutes and a phone call, times the whole team, every day. If your operation runs on repetitive, information-heavy work — in Calgary, across Alberta, or anywhere in Canada remotely — there's a sprint-sized win in it.
Sprint questions, answered
Do we need to do the Opportunity Audit first?
No, but it's the natural sequence. The Audit finds and ranks the opportunities; the Sprint builds the top one. If you already know your highest-value problem and can scope it clearly, the Sprint stands alone.
Which tools do you build with?
Proven, business-grade tools that fit your environment and budget — not a fixed stack, and never a tool I'm paid to resell. Where a use case genuinely needs custom technical work, I bring in vetted technical partners and stay accountable for the outcome.
Is our data safe during the build?
Yes. Business-grade tools only, clear data rules set before anything is built, nothing used to train public models, and data-residency requirements scoped in for regulated industries and government.
What if the solution doesn't work?
Success criteria are defined in week one — time saved, error rates, adoption — and measured before handoff. The build-test-refine cycle exists precisely because the first version is never the final one. You'll know whether it worked in numbers, not vibes.
How do you make sure the team actually uses it?
The process is redesigned around the solution — not bolted on beside it — and the people who run the workflow are involved from design onward. Training and an implementation playbook are part of the deliverable. Adoption is designed in, not hoped for.
Know your bottleneck? Let's scope the sprint.
Not sure? Start with the free call anyway — if the problem isn't sprint-shaped, I'll tell you what is.
Book the free call →