What We Offer
We help you design agentic systems, automate the work that slows your team down, and build architecture that is secure and maintainable from the first commit.
From demo to dependable.
Most teams can spin up an AI agent that looks impressive in a demo. Very few can run one reliably in production. We design the orchestration, memory, tool use, guardrails, and observability your agents need to do real work without surprises.
Give your team their week back.
Every team has a list of weekly rituals — reports to pull, files to move, data to reconcile, hand-offs between systems. We identify the highest-leverage candidates and turn them into automations that are reliable, observable, and cheap to maintain.
Security as a foundation — not a patch.
Security is hardest to add later. We design systems where identity, least-privilege access, secret management, data boundaries, and audit trails are first-class parts of the spec. For AI systems, that also means prompt-injection defence, tool scoping, and safe credential handling.
Choose the right layer to integrate AI.
Not every problem needs an agent. We help teams decide where LLMs, retrieval, fine-tuning, or classical automation actually fit — and where they don’t. The goal is clarity, cost control, and a roadmap you can defend to your stakeholders.
A second pair of experienced eyes.
Before you commit to a rewrite, a vendor, or a new platform, bring in an independent architect. We review your current system, identify risks and technical debt, and give you a short, honest report you can act on.
Turn vague ideas into shippable specs.
With AI agents, the quality of your specification is the ceiling on the quality of your output. We help teams translate fuzzy stakeholder requests into precise, testable specs that both humans and AI coding agents can execute against.
How We Work
You'll work directly with someone who has spent more than a decade designing production systems — including the kind you're trying to build now. No layers, no hand-offs, no learning on your budget.
Our Process
We keep engagements small, focused, and honest. No 200-page deliverables that nobody reads.
01
We start with a short, focused conversation to understand the real problem, the constraints, and what "done" actually looks like.
02
We produce a clear architectural spec — diagrams, trade-offs, risks — that your team can read, challenge, and own.
03
We implement the system in tight iterations, with evaluation harnesses, observability, and security baked in from day one.
04
We leave you with runbooks, documentation, and a team that understands the system — not a black box that only we can maintain.
We're taking on a small number of engagements. Send us a short note about what you're working on and we'll get back to you within a couple of days.
hello@circuitlogiclabs.ca