AI consulting & implementation

AI consulting that ends in something running

We find the work in your business that AI can genuinely take off people’s plates, prove it on one workflow with a number agreed up front, then build it into the tools your team already uses.

  • 2-week assessment
  • Fixed fees
  • Your data stays yours

The problem

Most AI projects stall between the demo and Monday morning

The chatbot impresses in the meeting, then nobody uses it because it does not know your products, cannot see your systems and gives an answer nobody can check. We start from the work, not the model.

AI readiness assessment

Two weeks, fixed fee. We interview the people doing the work, look at your systems and data, and hand you a ranked list of AI opportunities with estimated hours saved, cost to build and risk.

Pilot with a scoreboard

Four to six weeks on one workflow. Before we start, we agree the measure: minutes per ticket, documents processed per hour, error rate. At the end you see the number, not a slide.

Production build

The pilot hardened for daily use: connected to your CRM, inbox, drive or database, with logging, access control, cost limits and a way for staff to flag a bad answer.

Assistants on your own documents

Internal assistants that answer from your policies, manuals, contracts and past tickets, and show the source for every answer so staff can check it in one click.

AI policy & governance

A plain-English AI use policy, a data classification your staff can follow, and vendor choices that keep client data out of model training. Written for your size, not a bank’s.

Team AI training

Hands-on workshops for staff on the tools you have approved, using your own documents and tasks. The same people who trained hundreds of students on AI Ninjas run them.

A team working through a plan on a table

Where AI pays first

Boring jobs, measurable wins

The work below is where we most often find hours worth saving. Every row keeps a person in the loop wherever a mistake would cost money or trust.

Common first AI projects for small and mid-size organizations, and what stays with a person.
The job todayWhat AI takes onWhat stays human
Answering the same customer or parent questions by emailDrafts replies from your own policies and past answers, with sourcesSending anything that commits money or a date
Reading invoices, forms and applicationsPulls the fields into your system and flags anything missing or oddApproving exceptions
Searching through years of documentsFinds the passage that answers the question and links to the pageDeciding what the passage means for this case
Writing first drafts of quotes, reports and lesson plansProduces a structured draft from your templates and dataFinal edit and sign-off
Triaging support tickets and work ordersCategorizes, sets priority and routes to the right personAnything marked urgent or unclear
Summarizing meetings, calls and case notesProduces notes, actions and owners in your formatChecking before it goes to a client

From our own products

Sometimes the right answer is not AI. We say so.

When we built PetitionLens, a research tool over 5,945 immigration appeal decisions, we deliberately did not let a language model decide which objections a decision raised. Lawyers and applicants need to check every claim, so each tag is matched by fixed text rules and stores the exact sentence and page it came from.

AI is used where it is strong and checkable: finding decisions with similar meaning to a search, running on the product’s own server so no case text leaves it. That is the judgment we bring to your project: AI where it earns its place, plain rules where you need proof.

Read the PetitionLens case study
PetitionLens decision list showing 3,753 NIW decisions filtered by outcome and failed prong, each tagged with the objections the appeals office raised.

Engagement

How an AI engagement runs

Each phase is priced and agreed separately. You can stop after any of them and keep everything delivered.
PhaseLengthYou getCommitment
AI readiness assessment2 weeksRanked opportunity list, cost and risk per item, recommended pilotFixed fee
Pilot4 to 6 weeksA working tool on one workflow, measured against the agreed numberFixed fee, success measure in writing
Production build6 to 12 weeks typicalIntegrated, monitored system, staff trained, documentation handed overFixed scope per phase
Run & improveMonthlyMonitoring, model and prompt updates, cost reviews, new use casesCancel with 30 days’ notice

How we handle your data

  • Built in accounts you own, under your billing
  • AI providers whose business terms exclude your data from training, or self-hosted models where data is sensitive
  • Access controls that match your existing permissions
  • Logs of what was asked and answered, kept for as long as you decide
  • No client data used in our demos or marketing, ever

Who this is for

  • Small and mid-size businesses with repetitive office work
  • Schools, colleges and nonprofits with admin teams stretched thin
  • Professional services firms sitting on years of documents
  • Clinics and practices answering the same patient questions daily
  • Multi-site retail and hospitality groups drowning in reports

Questions

AI consulting, answered plainly

A written report, usually ten to fifteen pages, listing each opportunity we found with the hours it would save, what it would cost to build and run, the risks, and what has to be true about your data first. It ends with one recommended pilot. You own the report and can take it to any vendor.

No. Finding out how usable your data is happens during the assessment. Often the first project is a small clean-up or a better form, which pays off whether or not AI comes next.

Whichever fits the job, the budget and your data rules. That can be a hosted model from a major provider under business terms, or an open model running on your own server. We design so the model can be swapped later without rebuilding the system.

That is not what we build for. The projects that work take the repetitive part of a job away so people spend their time on the part that needs judgment. We design every system so a person approves anything that commits money, a date or a promise.

Yes. We run half-day and full-day workshops on the tools you have approved, using your own documents, plus a short written policy staff can actually remember. For schools, see our teacher training.

Next step

Start with the assessment

Book a 30-minute call. Tell us where the hours go. We will tell you whether an assessment is worth it for you, and what it would cost, before you commit to anything.