Strategy, implementation, data discovery, and responsible AI practice. Flat-fee engagements, senior-led, with your team in every working session and capability transfer built into the deliverable.
What to build, why, and in what order — before you’ve spent a dollar building the wrong thing.
Start a Strategy EngagementFlat-fee, six-week engagement. Transparent pricing scoped to your situation. No hourly billing, no surprise inflation.
The most expensive AI mistake isn’t picking the wrong model. It’s picking the wrong problem and building competently against it for nine months.
We start every engagement with a strategy phase: a structured discovery of where AI can actually move the needle, what’s worth building first, what’s worth buying, and what’s not worth doing at all. We meet with the people who own the workflows AI would touch. We map the data lineage. We pressure-test the business case with your CFO. We deliver a phased roadmap a board can read and a team can execute against.
Sometimes the cheapest finding is “you don’t need AI for that.” We say it when we find it. We’d rather lose the build contract than sell you the wrong one.
We build the AI capability with your team in the room — not behind one.
Scope an ImplementationFlat-fee, milestone-paid. One transparent price for the engagement. Paid in thirds: at kickoff, at first production deploy, at handoff.
The default consulting playbook is: we come in, we build it for you, we leave, and six months later your team discovers no one can extend or maintain what we built. We refuse to work that way.
Every working session is co-led by your team and ours. Your people see the prompts, the data pipelines, the evaluation frameworks, the architecture decisions. They review them, they question them, they own them. When the engagement ends, the documentation is something they wrote with us — not something we handed over and walked away from.
This is slower than the black-box model in the first month. It is dramatically faster across the lifetime of the system, because no one ever has to call us to ask how it works.
Most AI projects fail at the data layer — not the model layer. We start where the failures start.
Start a Discovery EngagementFlat-fee discovery sprint. Typically four to eight weeks. Often runs in parallel with a strategy engagement; sometimes it is the engagement.
The most valuable data in your organization isn’t in a database. It’s in the heads of the people who’ve been doing the work for a decade — the rules they apply, the exceptions they recognize, the decisions they make that no documentation has ever captured. AI can’t be built on data that doesn’t exist. We work with the people who hold that knowledge to surface it.
This is a craft, not a survey. We sit with the people who do the work. We watch the workflow. We ask why three times in a row. We document the answers in a structure your AI systems can actually consume — and in language your team can read back to confirm we got it right.
The output is a data foundation: clean, labeled, lineaged, and trusted. Without it, every AI project downstream is a coin flip dressed up in a dashboard.
Governance, risk, and ethics designed in from day one — not bolted on before the audit.
Design a Responsible AI ProgramFlat-fee program engagement. Often paired with a strategy or implementation engagement; can be scoped standalone for audit readiness.
The EU AI Act is enforced. NYC Local Law 144 is enforced. The FTC and SEC are publishing AI-specific guidance at a pace that will make “we’ll get back to you” an unacceptable answer for much longer than your board will tolerate.
We design AI programs with the audit trail built in. Bias evaluation, model cards, decision logs, governance policies, human-in-the-loop checkpoints, escalation paths — these aren’t a phase you bolt on at the end. They are how we build, from the first sprint.
Our sister firm, Talent Echo Advisory Group, runs the retained executive search for the Chief AI Officers and AI Governance leaders who will own this program at your senior table. We design the program; Talent Echo places the person who runs it. Most clients who work with one of us eventually work with both.
Most conversations start with a 30-minute working session. We’ll help you figure out whether you need strategy, implementation, discovery, governance — or whether you need to call Talent Echo first.
Book a Working Session