AI Consulting

A practical AI plan built around how your team works.

Identify useful workflows, document the knowledge they depend on, and give your people clear rules for using and checking AI. Start with a scoped assessment; add training or ongoing governance where it helps.

Book a 30-minute consultHow it works
Who it's for

Firms that want AI used well — and someone accountable for it

Surveying, SUE & AEC firms

Firms where the knowledge that matters is field judgment, review habits, and twenty years of "how we do it here" — exactly what a careless AI rollout tends to flatten. The first question is usually what to improve and how to start.

Any company standing up AI governance

Owners and leadership teams who want the guardrails in place and one person responsible for them, without hiring a full-time role to get there. The first question is usually who owns the risk.

Consulting services

Start with a scoped assessment

Every engagement begins with a written assessment of your actual workflows. Training and governance are added where they help, one phase at a time.

Readiness assessment

A working session with the people who own the workflows, then a written assessment covering:

  • Selected workflows, and where their knowledge actually lives
  • Knowledge gaps and data constraints
  • Candidate pilots, each with an owner
  • The human review point that makes each pilot safe to try
  • A prioritized next step

Training & enablement

Role-based sessions for the people doing the work: what the tools are good at, where they fail, how to check the output, and how to disclose use. Built around your workflows and your data rules, not a generic slide deck.

AI committee & governance

Charter, membership, decision rights, meeting cadence, and the policies a committee actually needs: acceptable use, data handling, vendor review, disclosure. Then ongoing facilitation so the committee makes decisions instead of collecting them. Useful once there is something to govern — not a prerequisite for starting.

How an engagement runs

Fit call first. Then the work, one phase at a time.

1

Fit call — 30 minutes, free

The consult you book on this site. We talk through where AI is already showing up in your company, what's worrying leadership, and whether an assessment makes sense. No deliverable, no pitch.

2

Working session & written assessment

A scoped, paid engagement: a working session with the people who own the workflows and the risk, then the written assessment above — what to capture, what to pilot, what to leave alone, and what to decide first. Build/buy-neutral, and written so it can be checked later.

3

Training and standing support, where they help

Role-based training blocks as teams come online, committee facilitation on a set cadence, and a second opinion when a vendor pitch needs one. Each is scoped separately.

What an assessment looks like

A map, not a memo

Sample AI readiness map for a fictional firm: four workflows with where the knowledge lives, owner, pilot decision, and human review point; proposal drafting is marked as the first pilot and field-notes-to-drawing is marked no because it is a professional determination.
Illustrative sample

A readiness map from a sample assessment

Four workflows, where their knowledge lives, who owns them, whether each is a pilot candidate, and the human review point that makes it safe to try. One becomes the first pilot; one stays off the table because it's a professional determination.

Illustrative sample for a fictional firm. Not client work.

FAQ

Questions that come up on the fit call

Do we need an AI committee to start?

No. Most firms start with the assessment and one small pilot. A committee is worth forming once there are decisions to make on a regular basis — I'll say so when that point arrives, and not before.

Do you work with the tools we already have?

Yes. The assessment starts from your existing systems and the tools people are already using. Recommendations are build/buy-neutral.

Who from our team needs to be involved?

For the assessment, the people who actually own the workflows and the risk — usually a project or survey manager, a senior technician, and whoever answers for data handling. A few hours each, not weeks.

How do we know adoption is working?

Each pilot is written up with a baseline, a review point, and what "better" would look like before it starts. Adoption is evaluated against that, not against a vendor's claims.

Do you sell software?

No. Recommendations start with your needs and existing systems. If a custom tool turns out to be the right answer, it is scoped separately under App Development — never assumed.

Start with the conversation.

In 30 minutes we'll cover where AI is already showing up in your company, what's keeping leadership up at night, and whether an assessment is the right next step.

Book a consult