Private knowledge becomes company intelligence.
Find what works with AI inside your company. Review it. Reuse it everywhere.
A private AI workflow becomes a skill candidate for the company AI brain.
Every employee learns AI alone.
The best prompts, patterns, context, and decisions stay in private chats. The company pays in time and tokens, then forgets what people discovered.
Useful workflows become approved skills.
knacks captures what works, routes it to the right owner, publishes it to the repo, and monitors reuse across teams.
Service-led to get live fast. Platform-led so skills keep improving.
We help configure the first use cases.
We identify the highest-value knowledge your teams keep recreating, clean it up, and turn it into the first reusable skills.
The skill repo keeps improving, safely.
The product captures what employees learn, validates what is worth reusing, and monitors usage, quality, access, and waste over time.
Your company is paying employees to teach AI the same things again and again.
A rep teaches AI your market. A support lead teaches it your escalation patterns. An operator teaches it your reporting logic. Then the knowledge stays in a private chat and the next person pays again.
The best answer disappears after one conversation.
The same prompt and context get rebuilt by sales, ops, support, and leadership.
Quality depends on who is good at prompting, not what the company already knows.
Tokens burn while employees rediscover context the company already paid to create.
Nobody can monitor which AI habits are improving execution and which ones create risk.
The company gets AI activity, but not compounding intelligence.
Create skills. Review them. Publish to repo. Monitor everything.
knacks turns private AI workflows into governed company skills. Employees create in plain English, team leads approve, and leadership sees reuse, quality, access, and token waste.
Employees describe repeated work and turn it into a reusable AI skill without needing to know how to build it.
Team leads check sources, quality, access, and guardrails before anything becomes shared.
Approved skills go into the company repo with owners, examples, and versioning.
Leadership sees usage, quality drift, sensitive access, and token waste across the skills people run.
The skill repo is built from work people already repeat.
knacks turns everyday AI usage into governed skills: the context employees repeat, the prompts they refine, the patterns they trust, and the decisions they keep recreating.
Best prompts
The questions, instructions, and examples employees keep refining.
Company knowledge
Products, customers, policies, positioning, objections, and internal logic.
Repeated patterns
Research, prep, follow-up, triage, reporting, analysis, and writing habits.
Decisions
What good looks like, what to avoid, and how experienced employees reason.
Reviewed answers
The outputs that are accurate, useful, safe, and ready to become standards.
Adoption signals
Which teams use which knowledge, where it saves time, and where it fails.
Permissions
What AI can access, who owns it, and what needs approval before reuse.
Token burn
Where employees are paying again for knowledge the company already has.
Every AI interaction should make the company smarter.
Every useful prompt, decision, pattern, and piece of context can become an approved skill. New teammates do not start from zero. Managers raise the baseline. Leadership scales what works without guessing.
For leaders who want AI to become shared intelligence, not private experimentation.
Stop paying for the company to forget.
Turn individual AI usage into company memory, quality, and operating leverage.
Give every rep the knowledge of the best rep.
Make research, prep, follow-up, and forecasting more consistent across the revenue team.
Make operating knowledge reusable.
Capture the reporting, triage, analysis, and execution patterns that usually stay tribal.
Make adoption measurable and controlled.
Monitor usage, quality, access, and waste while the skill repo keeps improving.
The honest answers.
What is a company skill?+
A reviewed AI workflow your teams can reuse: prompt, context, examples, owner, permissions, and quality checks packaged together instead of hidden in a private chat.
What do you actually deliver?+
A governed skill system: employees create skills, team leads review them, approved skills publish to the repo, and leadership monitors usage, quality, risk, and waste.
Is this just another chatbot?+
No. The point is not one more chat interface. knacks is the creation, approval, repo, and monitoring layer for the AI workflows your teams already run.
Do employees still experiment?+
Yes. Experimentation is the source material. knacks helps the company capture what works, remove what is risky, and make the useful parts available to everyone.
Do we have to replace our existing tools?+
No. knacks works around the places where your teams already use AI and helps turn the best knowledge into company-owned systems.
How fast can we start?+
On a call, we can identify one team, one repeated workflow, and one source of wasted time or tokens to turn into the first approved skill.
Stop letting employee AI knowledge disappear in private chats.
Book a call. We will show where your team is burning time and tokens, and how those repeated patterns become reusable company skills.