An AI strategy and implementation partner built around one principle: the capability has to stay inside your team when we leave.
A2 Digital exists because we kept watching the same thing happen. A mid-market or mission-driven organization — a healthcare system, a regional bank, a national nonprofit, a manufacturer — would hire a large consulting firm to build an AI capability. The firm would arrive with a deck and a master services agreement. They would scope a project that, on paper, looked rigorous. They would invoice for nine months. They would leave behind a system the organization couldn’t modify, couldn’t fully explain to its regulators, and couldn’t safely retire.
This wasn’t one firm. It was the operating model of the industry. And it was structurally hostile to the kind of organization that doesn’t have a quarter-billion-dollar internal AI team to absorb and re-platform what the consultants leave behind.
We started A2 to be the alternative. Flat-fee engagements scoped before the work begins. Your staff in every working session as co-builders, not stakeholders. Capability transfer as the deliverable, not a slide at the back of the final deck. Open standards. No vendor lock-in. No invoice that grows because we found something interesting.
The result is a firm whose pricing model and operating philosophy are unfashionable in the industry — and exactly what serious organizations have been quietly asking for.
Two firms, one address, one operating philosophy, two different jobs in the AI capability stack.
A2 Digital is the sister firm to Talent Echo Advisory Group, the flat-fee retained executive search firm for Chief AI Officers, Heads of AI Governance, and Responsible AI leaders. Same address. Same operating philosophy. Different work.
Talent Echo runs the search that finds the leader. A2 Digital builds the program that leader will run. The two engagements are often sequenced together: Talent Echo’s strategy advisory and search work surfaces what the role actually needs to own, A2 stands up the program, and the new leader inherits a running start instead of a blank page. The reverse sequence happens too — A2 strategy work surfaces a leadership gap, and the resulting role definition goes to Talent Echo for the search.
Both firms charge flat fees paid in thirds. Both work senior-led, with three to four active engagements per consultant. Both treat governance as the practice rather than the asterisk. The relationship between A2 and Talent Echo isn’t a referral arrangement — it’s a shared philosophy that two different jobs can’t be done by the same firm, but can be done well by two firms who agree on what good looks like.
Retained executive search for AI leadership. Chief AI Officers, Heads of AI Governance, Responsible AI executives, AI-fluent board members.
AI strategy and implementation. The program your AI leader inherits or your team operates without one. Data, models, governance, capability transfer.
Same Bethesda office. Same flat-fee model. Same belief that “responsible” cannot be the last word in the engagement name.
For a more detailed walkthrough, see Our Approach. The short version:
Thirty minutes. We figure out whether you need us at all, and if so, which kind of engagement fits the situation you’re actually in.
A flat-fee proposal with a defined scope, timeline, and deliverable. No hourly estimates. No “and-thens.” The price you see is the price you pay.
Senior-led, with your team as co-builders. Working sessions on your calendar. Documentation co-written. Decisions visible. Audit trail built in.
If the right answer is “buy this off-the-shelf product” or “don’t do this yet,” we say so — even if it costs us the build contract. The trust is worth more than the revenue.
Every engagement is led by a senior practitioner from kickoff to handoff. You meet the people who will do the work, in the first conversation. Same people, every meeting after.
Vendor-neutral architecture. We work with your existing cloud, your existing data infrastructure, your existing model providers. We don’t leave you locked into anything proprietary, including our own preferences.
Bias evaluation, audit trails, governance policies, human-in-the-loop checkpoints — these are how we build from sprint one. If they get added at the end, they get added wrong.
The first call is free, the scoping is honest, and the answer is sometimes “not yet, here’s what to do first.”
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