CAOS
Your Company’s AI Operating System. For Those Looking To Become AI Native.
Shared context, vetted skills and guardrails, set up once and rolled out to your whole team. AI output that is on brand, checked, and the same no matter who asked.
Watch our case studiesYour A-players use AI, your company doesn't.
of the small business owners Goldman Sachs surveyed use AI.
have it fully integrated into their core operations.
Source: Goldman Sachs 10,000 Small Businesses, AI Impact Report, October 2026 (2,473 program alumni).
The issue looks the same in most teams we audit.
Every chat starts from zero.
People paste the brand voice, the SOP and the client brief again, every time.
Output you have to babysit.
Answers look made up, so someone double checks everything.
Slop and sameness.
First drafts ship, and everything sounds the same instead of like your brand.
One power user.
The person who set it up gets the gains. The rest of the team does not use it.
Nobody owns the workflow.
Tools pile up, each with a dashboard nobody checks.
Data you cannot trust.
Every platform reports its own numbers, and AI built on them guesses.
More tools will not fix this. A system your whole team runs on will.
What CAOS Is
One system for how your company uses AI, and the engineers who build on it.
Shared context
Brand, SOPs, client context and data in one source that every AI reads from. Your team keeps working where it already works, and CAOS stays in sync.
Vetted skills
Repeatable workflows built and checked by your best operators, then rolled out to everyone. The tenth person gets the same result as the founder.
Guardrails
Read-only access first, drafts before anything goes live, and a person signs off. AI never holds the keys.
Feedback loops
What works is written back into the system, so the next run starts from it.
Forward-deployed engineers
Our engineers join your team, in your Slack and on your calls, and keep building new use cases on top.
Works with Claude, ChatGPT, Gemini, n8n, Make and custom agents. Swap models anytime. You own all of it, with access set per role, client and person.
“Most AI systems do not retain feedback, adapt to context, or improve over time.”
MIT NANDA, The GenAI Divide: State of AI in Business 2025
CAOS is built to do all three, efficiently.
Skill sharing
One great setup becomes a vetted skill, and the whole team inherits it.
Loop engineering
Workflows learn from their results instead of repeating the same output forever.
Evals and traceability
We test skills, audit how agents reason and trace token use, so we know what works, what it costs and where work stalls.
Context engineering
Each task pulls only the context it needs. Lower token spend, faster answers, the same quality from any model.
What CAOS Runs
A couple of use cases built on CAOS, across every team.
Brand and customer research
Automated Performance Reporting
Creative intelligence
On-brand content and email
Competitor ad funnel monitoring
Landing pages and CRO sprints
Call intelligence
Self-improving follow-ups
Proposals from call transcripts
Lead intake and pipeline automation
Client onboarding
Delivery operations
Shared delivery skills
Talent matching
Client reporting
Meeting and call logging
Self-updating SOPs
Bottleneck tracing
Internal answer engine
Data cleanup and access
What Working With Us Looks Like
Saving Three Beacon Marketing US$60,000/mo
- Chris Pearson, Co-Founder @ Three Beacon Marketing
Helping Tacklebox Digital add +$120,000 in recurring revenue
- Graham Skelton, PM @ Tacklebox Digital
How WRIP Saved +$35,000 with Tecna's AI Content System
- Aidan Collins, Founder @ WRIP
Helping Sales Cadence Save +$26,000 With One GTM System
The revenue gain is close to 15x.”
- Werner Jooste, Founder @ Sales Cadence
How we helped B2B Boosted grow without adding overhead
- Tim Yakubson, Founder @ B2B Boosted
How It Works
Map your operation
Where knowledge lives, where data breaks and which workflows leak hours, across marketing, sales and operations.
Set up CAOS
Shared context, vetted skills and guardrails, built around your stack and the access each role needs.
Build use cases on top
Forward-deployed engineers ship the highest-impact use cases first, one request at a time.
Roll it out to the team
Leaders vet the skills first. Everyone else inherits what works and learns on their own workflows.
Turn AI Chaos Into CAOS
BOOK A CALLezequiel@tecnalabs.comSources: Goldman Sachs 10,000 Small Businesses, AI Impact Report, October 2026 (2,473 program alumni). MIT NANDA, The GenAI Divide: State of AI in Business 2025.