Do I have to book the $99 consultation first?

No. You can start with a business wish list and we will reply with a suggested next step. The $99, 1-hour consultation is a separate paid option for teams that want to talk it through live with a senior architect.

Are you tied to one AI vendor?

No. This page is model-neutral and we compare tools against your stack and rules. Once you have chosen a route, see Claude implementation, OpenAI implementation, or private AI infrastructure for a rollout specific to it.

Claude, OpenAI, or a private stack: which should we choose?

It depends on who will use it and what data is involved. Claude and ChatGPT business workspaces are hosted apps your staff use directly. The OpenAI API and the Claude API are for building AI into your own software. A private stack puts a company-controlled chat interface in front of an AI gateway so you pick the models and set access, logging, and spend controls. A private stack adds things to run, so we only recommend it when the control is worth it.

Do you write AI policies and set up governance?

We draft practical rules, review checkpoints, and settings checklists for your counsel to review, and we help put them into the workflows. This is operational guidance, not legal advice or a compliance certification.

Do we need a hosting plan?

Not for consulting, assessment, governance, or training work. A monthly plan applies only when we host or run software for you, and it is quoted separately from the build.

How long does an engagement take?

It depends on your systems, access, data, and how quickly your team can review. We state the timeline in the written scope before work starts. It is an estimate, not a guarantee.

Can you guarantee savings or ROI?

No. We agree on measures with you up front and report against them, but we do not guarantee outcomes.

AI consulting & implementation

AI consulting that ends in a working rollout

We help growing businesses decide where AI belongs, which tools to buy, configure, or build, what rules cover data and human review, and how to get the team actually using it. Model-neutral advice first. Staged implementation when you are ready.

Start your business wish list Book a $99 consultation

The wish list is the low-friction first step. The $99 consultation is a separate, paid, 1-hour live session, priced apart from any assessment, build, or support plan.

Choose a platform

Claude, OpenAI, or your own private stack

Once AI belongs in a workflow, three routes come up most often. Each has its own page. If you are not sure which fits, start here: we compare them against your data rules, team, and budget, and sometimes the answer is a different tool or none.

Who this is for

Leaders who bought AI seats or ran pilots, but usage is uneven and nobody owns the outcome.
Operations teams buried in repeat work that AI could draft, sort, or check, if the rules were clear.
Companies handling customer, financial, or regulated information that need data rules before rollout.
Teams stuck on whether to buy a tool, configure one, or pay to build something custom.

Deliverables

What you walk away with

Deliverables depend on scope. These are the building blocks we assemble into an assessment or a rollout plan.

AI opportunity map

Your workflows ranked by effort, risk, and value, each with an owner and a recommended path: buy, configure, or build.

Tool selection brief

A shortlist compared against your stack, data rules, and budget. We are model-neutral: general-purpose assistants such as Claude, ChatGPT, Microsoft Copilot, and Gemini are all on the table, and so are a private chat interface on your own hosting and not buying anything.

Governance pack

Draft acceptable-use rules, a data-handling matrix, review checkpoints, and provider-settings checklist. Details in the governance section below.

Pilot plan

One workflow, one owner, agreed success measures, a review cadence, and the conditions under which you stop.

Team training

Role-based sessions and short SOPs built around your own workflows and documents, not generic prompt tips.

Integration plan

Which systems to connect, what access each connection needs, and how errors and exceptions get handled.

Decision

Buy, configure, or build

Most AI projects fail on this choice, not on the technology. We make it explicit for every workflow.

Path

Choose it when

What we do

Buy

Choose it when:A mainstream tool already does the job and your data rules allow it.

What we do:Compare options, check settings against your rules, help with rollout and training. No build work.

Configure

Choose it when:A tool is close, but needs your documents, instructions, workflows, or connections to be useful.

What we do:Shared projects and instructions, connectors, automation platforms, and light integration.

Build

Choose it when:Tools fall short: unusual workflow, strict review steps, your own system of record, or you need to own it.

What we do:Scope custom software or automation. See custom software development.

If the right answer is to buy a tool and stop, we will say so.

Process

Staged implementation

We roll out in stages so each step is checked by real users before the next one starts.

Stage 1
Frame
Agree the outcome, the owner, the systems involved, the data in play, and what is out of scope.
Stage 2
Pilot
One workflow with a small group of real users and human review on outputs that matter.
Stage 3
Harden
Fix exceptions, tighten access, add logging, and write the handoff documents and SOPs.
Stage 4
Expand
Add workflows or teams only when the pilot has met the measures you agreed on.
Stage 5
Support (optional)
Monitoring and small changes if we host or operate something for you. Priced separately.

Timelines are set in a written scope once we know your systems, access, data, and review turnaround. Focused pilots are often scoped in weeks and wider rollouts take longer. Estimates, not guarantees.

Governance

AI governance, sized for a growing business

Governance here means a short set of rules people actually follow, not a policy document nobody opens. We help you decide, write down, and set up the following. We do not certify compliance and we do not replace your counsel.

Data rules

Decide what may and may not go into AI tools: customer records, financials, health or legal material, credentials. Decide what stays out entirely.

Access

Who gets which tools and permissions, least-privilege connections to your systems, and how access ends when people or projects do.

Human review

Name the outputs a person must approve before they leave the building, such as customer messages, financial changes, or legal and medical content, and build that checkpoint into the workflow.

Provider settings

Retention, training, and data-location terms differ by provider, plan, and configuration. We read the terms for the plan you actually use, set what can be set, and document the rest. We do not assume any protection is on.

Logging and ownership

An owner for each workflow, a record of what automated steps did, and a clear way to report and fix mistakes.

Training and escalation

Short, role-based guidance so staff know what is allowed and who to ask when something is unclear.

What a governance engagement produces

Draft AI acceptable-use policy for your counsel to review
Data-handling matrix: what can go where
Approval and review map per workflow
Provider settings and terms checklist for each tool in use
Incident and escalation steps
A review cadence so rules keep up with new tools

Governance output is operational guidance, not legal advice or a compliance certification. Where regulated data is involved (health, financial, legal), we scope controls together with your counsel or compliance lead. How we handle your data.

Pricing & terms

How the cost works

Each kind of cost is separate, so you can say yes to one without committing to the others.

Business wish list: Share what you want AI to do, your systems, and your constraints. We reply with a suggested next step.
$99 consultation: A paid, 1-hour live session with a senior architect. It is priced separately from any assessment, build, or support plan.
Assessment or readiness work: Quoted from an agreed written scope. Nothing runs on our infrastructure, so no hosting plan applies.
Implementation: Quoted from the written scope. Build work uses 50% to start and 50% after the agreed KPI review.
Ongoing support and hosting: Only if we host or operate something for you. A monthly plan set by scope. Advisory and governance work never requires one.
AI provider and software costs: Seats, API usage, and platform subscriptions are billed by the providers and are not in our fees unless the written scope says so. The scope states whose account each one runs on.

Full detail on how pricing works.

Proof

Related work

Examples of AI and automation delivered for clients, with the context of each engagement. These are not all rollouts of general-purpose assistants.

Law Firm: AI-Powered Document Processing

20+ hours weekly spent manually reviewing legal documents. AI-driven intake, classification, and export to DMS.

70% faster processing
95% fewer classification errors

Online Community Platform: Inbox Triage & Content Moderation

Overflowing inbox risked missing critical messages. AI-powered categorization and priority alerts.

90% less inbox management time
Zero missed critical emails

All case studies

18 published engagements with the challenge, solution, and reported results.

View results →

Automation showcase

Public examples of workflows, integrations, and MCP tooling we have built.

View showcase →

Case results are client-reported from our published case studies. We have not had them independently verified, and your results will depend on your starting point, data, and team.

Tell us what you want AI to do

Start a business wish list. If you would rather talk it through live, the paid $99 consultation is a separate option.

Start your business wish list Book a $99 consultation

AI consulting that ends in a working rollout

Claude

OpenAI

Private AI stack