STRATEGY & CONSULTING

The organizations that win this cycle won't be the ones with the best AI strategy - they'll be the ones whose systems were already ready.

Not sure where AI fits? We map your operations, identify high-impact opportunities, and build a roadmap that makes sense for your budget and timeline.

Why it matters

The case for doing this now.

AI strategy decks are easy. Building infrastructure that survives the next vendor announcement is hard. The teams that fall behind aren't the ones who skipped strategy - they're the ones whose data, processes, and integrations weren't ready when the obvious moves became available.

We do strategy that lands on a backlog: an honest map of where you stand, where the cheap wins are, and what to fix so you're not locked out of the next generation of capabilities.

Enterprise apps with AI agents today
<5%
With AI agents by end of 2026
40%
Window to define AI strategy
3–6 mo
Gartner puts AI agents in fewer than 5% of enterprise apps today and 40% by the end of 2026, and gives CIOs a 3–6 month window to define AI strategy or cede ground. AI strategy consulting that lands on a backlog gets your data, processes and integrations ready for when the obvious moves become available.

What’s included

How we ship this.

  1. AI-readiness assessment

    Six-dimension review of your data, integrations, processes, security posture, team, and existing AI experiments. Plain English, not a maturity model with 47 cells.

  2. Opportunity map

    A ranked list of automation and AI projects, scored by impact, effort, and risk - built around your actual P&L, not industry averages.

  3. Concrete 90-day roadmap

    Three phases of work you can start now, with owner-level scope, expected ROI, and the order to do them in.

  4. Optional ongoing advisory

    Monthly working sessions with the engineers who'd actually build it, so the plan keeps moving as the landscape shifts.

Data points

The numbers behind the case.

Sources are linked beneath each number. Items marked typical range come from our own engagements rather than a published study.

Where this shows up

What this looks like in practice.

A 200-person professional services firm

Six-week assessment surfaced two automation projects with clear payback inside the year and one infrastructure fix that unlocked their entire roadmap. They greenlit all three with their existing budget.

Representative engagement

A founder-led SaaS company evaluating an 'AI pivot'

Cut three speculative initiatives and refocused the team on one defensible AI feature their data already supported. Shipped to customers in eight weeks instead of vanishing into a planning cycle.

Representative engagement

Guides to help you decide

  • ChatGPT for Business

    How to use ChatGPT for business operations: practical uses by team, data privacy settings, prompts written as SOPs, and when to move to a built workflow.

  • AI Proof of Concept

    How to run an AI proof of concept: pick the use case, set success criteria, test on real data, and avoid the reasons AI pilots stall before production.

  • Build vs Buy Software

    Build vs buy software, decided with a scorecard and three-year cost math: when to rent SaaS, when to build, and how hybrid setups work for billing, BI, CRM.

Next step

Know where you stand

We evaluate your organization across six dimensions of AI-readiness and deliver a concrete roadmap - what to fix, what to build, and in what order.

AI Strategy & Consulting | Buzzed Technologies