Your policies, manuals, and know-how are locked away. Your team pays for it every day.

Every SOP, policy, and procedure your business has ever written down is somewhere. Finding it, trusting it, and acting on it fast enough is another problem entirely. I build AI systems that turn that knowledge into instant, cited answers for the people who need them. The same rigor I used leading Fortune 500 and government AI deployments. Sized for a team of 10 to 50.

What we do

  • Assess your AI readiness and document landscape
  • Audit where institutional knowledge lives and how it's used
  • Identify the highest-impact opportunity first
  • Design and build secure, private AI knowledge systems
  • Integrate with your existing workflows and systems
  • Govern, monitor, and improve the system over time

Who we help

  • Healthcare & dental practices
  • Accounting firms
  • Legal practices
  • Property management companies
  • Trades & HVAC businesses
  • Insurance agencies

Teams of roughly 10 to 50 people. Big enough that knowledge doesn't fit in one person's head. Small enough that an enterprise rollout doesn't make sense.

What you get

  • Clear diagnosis and roadmap before any spend
  • A system your team actually trusts and uses
  • Measurable reduction in time spent searching and asking
  • Full data control, security, and governance
  • Ongoing management if you want it

Problems we solve

You do not need to know what AI can do for your organization. That is the work we do together: turning what is possible into what fits how your team actually operates, securely.

Knowledge trapped in documents

Policies, manuals, SOPs, and years of institutional memory sit in files nobody can search. Employees ask a colleague instead, because it is faster than finding the document.

Repetitive questions, every day

The same compliance, policy, and how-to questions land on your most experienced people, over and over. Every answer they give by hand is time not spent on higher-value work.

Compliance search is slow

Finding the right regulation, standard, or policy clause under time pressure is a liability, not just an inconvenience. Slow search means slower, riskier decisions.

Onboarding takes too long

New hires spend months learning where things are and who to ask, because the knowledge they need was never built to be found.

You tried ChatGPT. It doesn't know your business.

A general AI tool can write an email, but it has never read your policy manual. Every answer still needs to be double-checked against the actual document, which defeats the point.

No clear route to secure AI adoption

You know AI should be doing more in your business. You do not know where to start, what is realistic, or what your patient, client, or customer data actually needs protected.

How it works

Every business starts in the same place. Where it goes depends on what we find.

Free

Weekly Webinar

A live group session where you bring your problem. I help you name it and see whether AI is actually the fix, no pitch, no obligation.

AI Readiness Assessment

We assess your business processes, document landscape, and AI opportunities, then hand you a prioritized roadmap and ROI estimate.

Not AI Ready AI Ready

Operational Audit

We review existing processes, document systems, and how information actually moves through your organization. Find the bottlenecks before touching any tooling.

Findings Report

A detailed breakdown of what is slowing decisions down and creating risk, and what needs fixing first.

Improvement Roadmap

A clear, prioritized plan to get the organization AI-ready. Then we move to implementation.

AI Readiness Audit

A technical, security, and organizational evaluation. Gap analysis, risk assessment, and a scored readiness report.

Implementation Plan

A sequenced rollout plan, highest-impact and lowest-risk first. Every step justified before any build begins.

Build and Embed

We build, deploy, and train your team inside your security and compliance requirements. One system fully working before the next is introduced.

"Organizations do not buy AI. They buy time back, faster and safer decisions, and institutional knowledge that does not walk out the door when someone retires."

How we work together

A structured process. Every engagement starts with a clear diagnosis before anything gets built.

Start here

AI Readiness Assessment

A 1–2 week engagement covering a business process assessment, knowledge and document audit, AI opportunity assessment, and ROI estimate. You leave with a prioritized implementation roadmap and an executive presentation, not a sales pitch. Credited toward any implementation.

Discuss an assessment →

AI Implementation

Knowledge assistants, AI search, document processing, and workflow automation. Built for your business and your existing tools, not a custom IT project. Powered by SyntextAI where it fits. Custom-built where it doesn't.

Discuss implementation →

Managed AI Services

Monitoring, continuous improvement, model updates, governance and security, user training, and technical support after launch. Your system keeps improving and stays compliant without you having to think about it.

Discuss managed services →

Implementations include small-business knowledge assistants, policy and compliance search, intelligent document processing, and AI workflow automation. Read how these get built in Writing.

About

Business first. Technology second.

I am not an AI company trying to sell software. I spent ten years as lead engineer and architect on AI deployments for a Fortune 500 and government-scale client, Contextere. I was on the floor in Winnipeg, building the system and training technicians to use it. Diagnosis time dropped significantly. Junior technicians reached senior-level competency in weeks.

Most small businesses will never buy an enterprise AI system. They shouldn't have to. So I built SyntextAI. Real, cited answers from your own documents. For a team of 10, not 10,000. Priced and set up to actually fit. That's the standard I bring to every engagement. Build the system. Then stay on the ground until your team actually uses it.

10+ Years in ML & Cloud
F500 + Govt AI deployments led
Hands-on Every engagement

Writing

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