"Where do we even start?"
AI pilots fizzle because they chase hype instead of a use case with a clear, measurable payback.
One high-value use case firstEveryone's talking about AI; few are deploying it safely. QTSI builds practical, governed AI: assistants that answer from your own knowledge, automation that removes busywork, and the guardrails that keep your data compliant — measurable value, not a science project.
Practical AI deployed the right way — start with one concrete, high-value use case, prove it, then scale, with security and governance built in from the first day.
We don't sell hype. We identify where AI actually saves time or money in your business — a support assistant, a document workflow, an internal knowledge base — and ship it with your data kept private and compliant (PIPEDA-aware). You get measurable results and a clear governance framework, so leadership can adopt AI with confidence instead of caution.
Each is deployed securely, grounded in your data, and measured against a real business outcome.
Branded copilots and chat assistants — like the one on this site — that answer customers and staff from your knowledge, qualify leads, and hand off to a human when it matters. Available 24/7, on-brand, and grounded in approved content.
We remove repetitive, error-prone busywork — data entry, routing, approvals, document handling — by connecting your systems and letting AI handle the in-between. Staff spend their time on judgment, not copy-paste.
A private, searchable AI knowledge base over your documents, policies, and procedures — so staff find the right answer in seconds and tribal knowledge stops walking out the door. Grounded responses with sources, not guesses.
The guardrails that make AI safe to adopt — acceptable-use policy, data classification, access controls, human-in-the-loop checkpoints, and audit trails. So you capture AI's upside without the compliance, privacy, or reputational downside.
The technology isn't the hard part — picking the right use case, keeping data safe, and governing it are.
AI pilots fizzle because they chase hype instead of a use case with a clear, measurable payback.
One high-value use case firstStaff pasting sensitive data into public tools is a breach waiting to happen — and a compliance nightmare.
Private, governed deploymentsUngrounded AI invents answers and operates with no oversight — eroding trust the moment it's wrong.
Grounded answers & governanceA pragmatic path: prove value on one use case, then scale with the guardrails already in place.
We find the use case with the clearest payback and define what success measurably looks like.
We build a grounded, secure proof of value on your data — fast, with humans in the loop.
We put policy, access controls, and audit trails in place so the rollout is compliant and safe.
We extend what works to more teams and use cases, measuring impact at every step.
The highest near-term value almost always comes from one of three places: an AI assistant that answers customer or staff questions from your own content (reducing support load), an internal knowledge base over your documents and procedures (faster answers, less tribal knowledge walking out the door), or workflow automation that removes a high-volume manual task. QTSI's discovery process identifies which fits your situation and has the clearest, fastest payback.
QTSI deploys AI on private, isolated infrastructure — either Azure OpenAI Service (data stays within your Azure tenancy) or equivalent private endpoints. We never route client data through shared public APIs without governance in place. Data classification, access controls, and contractual terms are reviewed as part of every deployment so your PIPEDA obligations are met and your IP stays protected.
A good first use case has a clear, measurable outcome (time saved, tickets deflected, queries answered), uses data you already have, and doesn't require AI to make high-stakes autonomous decisions. Support assistants, internal policy Q&A, document extraction, and meeting summarization are common strong starting points. QTSI evaluates and prioritizes these during the discovery engagement so you invest in the one most likely to succeed.
Governance includes an acceptable-use policy, data classification defining what content the AI can access, access controls on who can interact with it, human-in-the-loop checkpoints for sensitive decisions, and an audit log of interactions. We also build in a review cadence — typically monthly — where outputs are spot-checked and the system is updated as source content changes. Governance is built into the deployment, not bolted on afterward.
No. QTSI's AI deployments integrate with your existing systems via APIs and connectors. An AI assistant can be added to Microsoft Teams, your website, or a client portal. Workflow automation connects your CRM, ERP, and email without rebuilding any of them. The goal is to make what you have more powerful — not to rip and replace.
Alberta organizations where QTSI's governed AI deployments produced measurable, immediate results.
We deployed an internal knowledge base for our operations team — 14 years of procedures, HSE documents, and technical manuals — using QTSI's AI program. What used to take a technician 45 minutes of searching now takes 30 seconds. The ROI was obvious before the first month was done.
Our previous AI attempt was a disaster — staff were pasting client data into ChatGPT and no one knew until it surfaced in a compliance review. QTSI came in, designed a governed deployment with proper data handling, and built us an assistant our legal team approved. Night and day difference.
QTSI Copilot is our own AI assistant, built and embedded on this site. It answers questions about our services, qualifies your use case, and demonstrates what a governed, enterprise-ready AI assistant actually looks like — not in a slide deck, but in a working product. Ask it anything.
Founder & CEO · vCISO / GRC Strategist
Manav leads AI and automation strategy for organizations across Edmonton, Alberta, and Western Canada — building production AI agents, document processing pipelines, and workflow automation tools on governed, enterprise-ready infrastructure. Every deployment starts with a clear use case, a data-handling review, and a compliance check before a single model runs in production.
Book an AI discovery call. We'll find the use case with the clearest payback for your business and outline a governed path to deploy it.
Free & confidential · Manav personally reviews every request within one business day.
Prefer to talk? Call us: 780-716-5372