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SmartyDevs
AI & ML · 05

An AI roadmap your board can defend.

Most AI strategy decks are aspirational slides. We deliver written roadmaps with cost models, build-vs-buy decisions, eval frameworks and shipping milestones — the version your engineering team can actually execute.

§ 01The problem

The problem we solve

Leadership teams are under pressure to “have an AI strategy” and most of what they get is consultants describing the obvious in expensive PowerPoint. We produce something different: a written technical roadmap with concrete features, cost models for each, build-vs-buy analysis, evaluation methodology, and a calendar of milestones your team can ship against.

§ 02Capabilities

What we deliver

  • 01Use-case audit: where AI buys real metrics in your product
  • 02Build-vs-buy analysis: model APIs vs open-weights vs vendors
  • 03Cost modelling per feature at realistic usage
  • 04Vendor selection: AI infrastructure, eval, observability tooling
  • 05Data and privacy posture: what data we can use, how
  • 06Team and skills assessment — what your engineers need to learn
  • 07Risk register: hallucination, cost, compliance, reputation
  • 08Quarterly roadmap with milestones and decision gates
  • 09Board-facing summary explaining the choices
§ 03Deliverables

What you receive

  • Written AI strategy document with the depth of an architecture review
  • Cost model spreadsheet your CFO can interrogate
  • Roadmap with quarter-by-quarter milestones and decision points
  • Optional: board presentation delivered by us
§ 04Stack

Areas we cover

Feature roadmap
Build-vs-buy
Cost modelling
Vendor selection
Data & privacy
Org readiness
Risk & compliance
Eval methodology
Roadmap & milestones
§ 05Ideal for

Ideal for

  • CEOs and CTOs under board pressure to have a credible AI plan
  • Product leadership planning the next year's roadmap with AI in it
  • Investors funding an AI-native company wanting a sanity check
  • Companies whose AI experiments aren't translating into product
§ 06Process

How an engagement runs

  1. 01

    Interviews

    Working sessions with leadership, product, engineering and data. We surface real problems, not buzzword priorities.

  2. 02

    Audit & opportunity map

    Where AI moves a real metric in your business — and where it doesn't. Both lists matter.

  3. 03

    Roadmap

    Quarter-by-quarter plan with costs, dependencies and decision gates. Build-vs-buy resolved for each item.

  4. 04

    Defend

    We present the strategy to your board or leadership. We answer the hard questions ourselves.

§ 07Engagement

How to engage

01

AI Strategy Sprint

3 — 4 weeks

Full strategy document, cost models, roadmap, board presentation.

02

Strategy + Implementation

Sprint + 3 months

Strategy followed by execution on the first quarter of the roadmap with our team.

03

Quarterly Advisory

Ongoing

Retained strategic review every quarter as the AI landscape and your business evolve.

§ 08Common questions

Frequently asked.

01Will you tell us not to do AI?

Frequently, yes. The honest answer for many teams is to ship the boring product faster and skip AI for now. That advice has a price; the slides cost more.

02Do you have skin in the game on vendor recommendations?

We don't take referral fees. Our recommendations are model-, vendor- and tool-agnostic. We name the trade-offs.

Have a problem worth solving well?

Tell us the outcome you want. We'll tell you what it takes — honestly, within a week, in writing.

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