They open one system, copy what they find, check a document, look up the last ticket. Then they type the answer into something else. It never shows up on an architecture diagram. It shows up as time. And it shows up as a customer still waiting on an answer that already exists somewhere in your business. I find where that's happening, work out what a machine should be doing instead, and build it. Ten years leading AI deployments for a Fortune 500 and government-scale client. From a ten-person practice to a plant floor.
These are the businesses I work with most. The problem is not particular to them. Any organisation big enough that knowledge stops fitting in one person's head has it.
Most AI shops start with the tool. RAG. Agents. A chatbot bolted onto your website. The businesses that get real value start somewhere else, with what's actually broken. That's where I start too. RAG is one tool in the kit, the right one when the problem is nobody can find an answer that already exists. Plenty of what I build isn't that. A workflow automation that removes a five-step manual handoff. Two systems that were never built to talk to each other. A document pipeline. Or code replacing a person's daily routine entirely. Diagnose first. Build second.
Every business starts in the same place. Where it goes depends on what we find.
Tell me about your business. I help you name the problem and see whether AI is actually the fix, no pitch, no obligation.
We assess your business processes, document landscape, and AI opportunities, then hand you a prioritized roadmap and ROI estimate.
We review existing processes, document systems, and how information actually moves through your organization. Find the bottlenecks before touching any tooling.
A detailed breakdown of what is slowing decisions down and creating risk, and what needs fixing first.
A clear, prioritized plan to get the organization AI-ready. Then we move to implementation.
A technical, security, and organizational evaluation. Gap analysis, risk assessment, and a scored readiness report.
A sequenced rollout plan, highest-impact and lowest-risk first. Every step justified before any build begins.
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."
A structured process. Every engagement starts with a clear diagnosis before anything gets built.
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 →Workflow automation, system integrations, custom AI tooling, and knowledge systems where they're the right fit. Built for your business and your existing tools, not a template. Powered by SyntextAI where it applies. Custom-built everywhere else.
Discuss implementation →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.
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 businesses will never buy an enterprise AI system, and most should not have to. So I built SyntextAI. Real, cited answers from your own documents, priced and set up to actually fit. That is the standard I bring to every engagement, whatever the size of the business. Build the system. Then stay on the ground until your team actually uses it.
Where is your team losing time to work a machine should be doing? Tell me here and I'll follow up directly about an AI Readiness Assessment or implementation.
