How we work — our methodology

AI is best used as a new OS. You have to become the new operator.

Becoming the operator is a change in how people work, not a purchase — so our method is built around the process and the people, never the tool. One integrated path, not a menu of services: every stage has a named owner, a date and a number it has to move. Twenty-one weeks in, your own team is running it.

Don’t sprinkle AI on a broken process. Rebuild the process, then measure it.


The four stages
012–3 weeks
022 weeks
038–12 weeks
044 weeks

Drawn to scale: twenty-one weeks end to end, with build and adopt carrying more than half the calendar. The same sequence runs for a single firm and for a portfolio company.

01

Baseline: assessment

Where the firm actually stands: hours by workflow, data readiness, and the real gap between tool access and daily use. Every later decision starts from measured fact, not a vendor’s estimate.

02

Thesis: strategy & roadmap

Our answer to the baseline: an AI thesis for the business and a ranked use-case portfolio, each with a margin case and a kill criterion. Spend goes where the margin is, and weak bets stop early.

03

Build: delivery & adoption

Priority use cases live on real projects, with governance, a model policy and a peer-led fluency program. Adoption is built into the operating model and executive cadence, so the program outlasts the pilot budget.

04

Handover: measurement & ownership

Results on the corporate scorecard — hours returned, rework avoided, margin per project — and the next use cases scoped. Your team owns the program from here, with no dependency on us.


How we lead

We build capability inside your firm, not a team beside it.

Your people, skilled from within

We work through the talent you already have and leave them fluent, confident and self-sufficient.

The platforms do the heavy lifting

We bring in the specialists behind the tools you already pay for, instead of rebuilding what they do.

Judgment where it counts

Senior attention goes to the decisions that shape the outcome.


The commitments

Platform agnostic

No reseller margin, no vendor allegiance

The recommendation follows your delivery model, your data and your contracts — and we will tell you when the tool you already own is enough.

Functional governance

Governance a project director can run on a Tuesday

Named owners, a model and data policy, review gates tied to real milestones, and an audit trail — not a committee that meets to restate the strategy.

Evidence inside six months

Reported in your numbers, not ours

Anything that can’t be evidenced within two quarters rarely survives a budget cycle in this industry.

Acceleration is a decision. Then it is a schedule.

AECelerate Advising LLC · United States Digital & AI transformation across the built environment — for AEC firms and their investors. hello@aecelerate.ai