AI consulting that builds and operates — not just advises.
Most AI consulting ends with a strategy deck. Ours ends with a supervised AI Team running a real workflow in your firm, with a human approving the output and someone operating it after launch.
For professional firms of 10–50 · build, govern, and operate
What is AI consulting?
AI consulting helps a firm find where AI can help and then put it to work safely. It spans readiness assessment, strategy, implementation, governance, and ongoing operation. The trouble is that most of it stops at the advice, and advice doesn’t survive contact with a busy practice.
LanternOps does the whole arc: we find the workflow, build the supervised AI Team, set the permissions and approval gates, and operate it after launch. Start with the work, not the model.
How we differ from typical AI consulting.
The market is full of strategy and short on operation. Here’s the gap between what most AI consulting delivers and what we do.
- Strategy decks and a roadmap → A working AI Team on a real workflow in weeks
- Advice, then they leave → We build it and operate it after launch
- A firm-wide “AI transformation” → One workflow proven before you scale
- Enterprise pricing and timelines → Priced like a hire, scoped for a 10–50-person firm
Where to start, and what comes after.
Whether you’re sizing up AI or ready to operate it, there’s a door here for you.
AI readiness assessment
Score your firm across five pillars and find the workflows worth operating first. Free, three minutes.
Open →AI governance consulting
Governance as an operating model, not a policy PDF: permissions, approval gates, review, and metrics.
Open →AI consulting for small business
For owner-led firms of 10–50. Priced like a hire, with a human approving everything that leaves.
Open →AI Team Pilot Sprint
The three-week entry point: one workflow, a working supervised AI Team, one measurable outcome.
Open →Managed AgentOps
We operate the AI layer after launch — prompts, connectors, reviews, and tuning — so you don’t need an IT team.
Open →Responsible AI
How we keep humans in the loop: permissioned access, approval gates, reviewable outputs, audit trail.
Open →AI consulting by firm type.
The workflows worth operating differ by practice. We tune the work to your kind of firm.
AI consulting FAQ.
What is AI consulting?
AI consulting helps a business figure out where AI can help, then put it to work safely. The range runs from strategy and readiness assessment to implementation, governance, and ongoing operation. The version that actually changes how a firm runs ends in a working system, not just a recommendation.
What does an AI consultant do?
A typical AI consultant assesses your workflows, identifies high-value use cases, and advises on tools and strategy. LanternOps goes further: we design the AI Team, set its permissions and approval gates, build it on a real workflow, and operate it after launch — advising and running, not just advising.
How is AI consulting different from AI implementation?
Consulting is the thinking — where AI fits, what to prioritize, how to govern it. Implementation is the building. Many firms buy them separately and lose momentum in the handoff. We do both, plus the operating, as one engagement so nothing falls through the gap.
How much does AI consulting cost?
It varies widely by scope and provider. LanternOps prices an engagement the way you’d price a hire rather than an open-ended transformation budget, so the number is legible up front. A free workflow diagnosis is the fastest way to a real figure for your firm.
Do you build the AI or only advise?
We build and operate it. Advice that ends in a slide deck rarely survives contact with a busy firm. We put a supervised AI Team on a workflow, keep a human approving the output, and run the system over time so it keeps working.
Start with one workflow.
A free workflow diagnosis is the fastest way to see what AI consulting looks like when it ends in a working system. We’ll find the first workflow worth operating in your firm.
Proof over promises: the Operator’s Log publishes real numbers from running supervised AI Teams across five ventures. What shipped, what it cost, what we had to fix.