Build & Implementation
We build the AI. Then we operate it.
Custom agents. Document pipelines. Full applications. We start from the workflow, prove the risky parts against real examples, and deploy gradually into the tools your team already uses.
Production-grade
Live products, MVPs, and in-development systems. Clear evidence, clear limits.
What we build
Production-grade AI, end to end.
Custom AI agents & assistants
Claude / GPT / local LLM-powered agents wired into your business systems. Real tool use. Real guardrails.
Document processing pipelines
Two-pass extraction, confidence scoring, queue-backed async processing. The architecture behind BenefitShield.
Full-stack applications
React + TypeScript front ends, Fastify or Next.js back ends, PostgreSQL persistence. The stack powering BoxBuddy and AEC Benefits in production.
Containerized deployment
Docker on a VPS or cloud target you control. Traefik for SSL. Self-hosted or managed — your call.
Automation engines
Cron-driven workflows, CASL-compliant email outreach, webhook-triggered jobs. Running live inside AEC Benefits 24/7.
Privacy-first architectures
Local-first AI where data must stay on-device. Tenant-scoped storage where it must stay separated. The model behind TalkAbout.
Before production
Proof comes before authority.
If an AI workflow will touch customers, money, compliance, or important records, we do not jump straight to full automation. We build a controlled proof, test it against real examples, and decide how much authority it has earned.
Explore the AI Workflow Proof SprintWorking proof before live deployment
Representative examples and edge cases
Human approval points for risky decisions
Exception handling and fallback paths
Outcome measurement before expansion
Recommendation to deploy, revise, or stop
Controlled deployment stages
We build on your existing systems wherever practical.
01
Working proof
02
Historical testing
03
Shadow mode beside the current process
04
Human-approved live use
05
Limited automation
06
Expanded automation
07
Monitoring and error reporting
08
Team training and handoff
Shadow mode means the new workflow runs beside the existing process so the results can be compared before it is given authority.
Proof in production
Every capability above is grounded in systems we have built, tested, or operated.
Common questions
Before you build.
How much does a build cost?
What do you actually build?
Do you build a proof before going live?
What tech stack do you build on?
How long does a build take?
Related reading
Before you build, read these.
Authority map
Trace the build capability to production evidence
Explore the products, case studies, historical archive, and local expertise behind BotLogix implementation work.
Proof of work since 2018
Historical artifacts, operating facts, product milestones, and the BotLogix build archive.
ExploreWork and case studies
Production products, measured outcomes, implementation records, and practical examples.
ExploreEight years of AI lessons
What early chatbots, live software, and modern AI agents taught us about deployment.
ExploreBurlington technology company
Local AI consulting, web application development, and on-site delivery across Halton.
ExploreRelated Services
30-minute strategy session
For real businesses with real problems.
Not for tire kickers. Not for tech tourists looking for a demo. For business owners who already know something in their operation is broken — and want to know if AI can fix it.
This isn't about replacing people.It's about killing the bad business processes your team hates as much as you do — the manual work, the missed calls, the after-hours admin.
Strategy sessions are free. Strategy Days are $1,000, capped at 4 people per session. Larger teams or multi-location workshops by special arrangement — ask when you book.
Your session is with
Steffen deGraaf
Founder, BotLogix · Burlington, ON