AI Strategy & Roadmap in Washington, DC

Yes — with the caveat that we write the roadmap, not the ATO package. For federal-facing work, the strategy deliverable explicitly names which candidate capabilities can ship on commercial cloud (most internal admin and knowledge-system builds), which require GovCloud or a FedRAMP-authorized stack (anything touching CUI or program data), and which are best treated as commercial-only until the procurement environment catches up. We coordinate with your CISO and contracting officer during the workshop so the build-vs-buy column reflects what your agency partner will actually approve, not what's technically possible. We do not write SSPs or run authorization boundary work — we hand the roadmap to the firm or in-house team that does.

We default to a hybrid format because almost every DC client we work with has staff across the District, Northern Virginia, and Maryland, plus full-remote contributors. The two-day workshop runs as half-day sessions over four calendar days — long enough to keep remote attendees engaged, short enough that in-person staff aren't burning two full days of executive calendar. The two-week deep dive runs differently: one in-person kickoff at your DC office, async working sessions across Slack and shared docs through week one, then a virtual readout with optional in-person executive review at the end of week two. Either format produces the same written deliverable. The format choice is about your team's working pattern, not the output quality.

Three differences worth naming. First, scope and price — a top-tier consulting AI strategy engagement starts in the mid-six figures and runs three to six months with a team of analysts. Ours runs two days to two weeks, fixed price, with the founder in every working session. Second, the deliverable shape — big-firm strategy decks tend to be pitch artifacts pointed at the executive committee. Our output is an operator's brief: a ranked capability list with effort and revenue scoring, a build-vs-buy column with named vendors and rough pricing, and a Phase 1 scope any builder can execute against. Third, vendor neutrality — we don't have a system-integration practice we're trying to feed downstream, so the roadmap doesn't quietly steer toward our own implementation. If the right answer is buy-off-the-shelf or hire-internally, the document says that.

We back the engagement off your funding calendar, not ours. For federal fiscal year buyers, the common pattern is to bring in an ai consultant in late Q3 or early Q4 of the calendar year so the Phase 1 scope brief is in hand before the October 1 fiscal year start, ready to drop into a task order or contract mod. For grant-funded nonprofits, we time the engagement to land before the grant proposal deadline so the AI capability is named, scoped, and budget-lined in the proposal itself rather than added as an afterthought. The two-day workshop format is specifically useful here — it can be slotted into a single sprint week without disrupting program delivery, which matters when your team's calendar is structured around reporting deadlines instead of product cycles.