For Heads of AI at mid-market B2B SaaS companies running internal agents at scale
Finally, your team's skills, agents and MCPs are off their laptops.
Adoption exploded and everyone loves Skills, agents and MCPs, but now critical flows live on unauditable, unmonitorable or uneditable local devices. Mindset centralizes what your team built, and lets anyone, technical or not, build and improve it visually, on any model, independently audited, surfaced wherever your team works.
The problem
The rollout worked. Now business-critical AI runs the company, from individual laptops, owned by one person each.
It's not centralized. It lives with whoever built it.
Your skills, MCPs and automations run on individual machines, not infrastructure the company controls, so no one even has a shared view of what exists.
Only one person can fix it, or you pull an engineer off real work.
It lives on one person's machine, so only they can change it, and when they're away it breaks. Your other option is pulling a senior engineer off the product work that differentiates you.
You can't prove what it did, or what it cost.
The only audit trail is one the agent writes itself, and it might not. There's no cost per skill either, so you can't prove to leadership what ran, what it cost, or that it's safe for customer-facing work.
The solution
Mindset is the platform to build, run and govern the AI your team already built.
How Mindset fixes the problems of AI on personal accounts
Getting it off laptops sounds like a rebuild. Mindset ingests what you have & improves it, instantly.
Point it at your running skills, agents and MCPs to have a governed system, with AI suggestions on what to improve or turn into deterministic flows.
On a laptop, every agent or person can reach anything. Mindset only lets it touch connections you've approved.
Register your APIs & MCPs as sanctioned connections to control which humans and agents can access them. Add new ones with AI help inside Mindset or via your coding agents.
Skills are local only. Workflow builders are brittle & complex. Mindset Functions are simple, and do more than both.
Describe your business logic to AI, even complex if-this-then-that, and Mindset turns it into a deterministic tool any agent can call. Anyone builds and manages them, technical or not.
A dashboard only watches your AI. Mindset actually runs, versions & monitors it.
Governance tools only observe agents. Mindset runs them itself, on infrastructure your company owns, can self-host and monitors, with break alerts and a versioned, independent audit trail.
On a laptop you tweak and hope, and can't see what it costs. Mindset lets you improve both from a conversation, not a ticket.
It watches real usage across every agent, spots what’s failing, and turns each failure into a proposed change you approve in one click, with no code change and no ticket.
On a laptop you're stuck with one model and one vendor. Mindset keeps you independent.
Any model, any ecosystem, built on open protocols, self-hostable. No eco-system lock-in.
How it works
Import & Build
Bring what you have in & give your team one place to build more.
- Import the skills, agents, MCPs and automations off local machines into one org-scoped registry the company owns.
- Build new ones or turn existing skills.md into deterministic flows if needed by describing what you want in plain language, including Functions that package complex business logic into a single tool your agents can call.
- See the whole agent fleet in one catalogue: what's running, who built it, what it touches and what it costs, all versioned from the moment it lands.
Govern & Deploy
Surface agents wherever they work & control who accesses what.
- Runs on shared, monitored infrastructure with break alerts, independent of any person's machine or holiday. Your team decide what actions are recorded by speaking to AI.
- Every agent gets its own identity and least-privilege access across tools and MCPs, instead of running on a human’s login. Agents and Functions can only touch the connections your org has sanctioned.
- Route any agent, skill or flow to where people work already for the final output or human-in-the-loop approval.
Improve
Turn ad-hoc flows into ones that suggest self-improvements you approve.
- Set behaviour acceptance criteria per agent or flow. Mindset runs them before you publish and re-runs them on a schedule, so a flow that goes red tells you before a customer does.
- A closed loop watches real usage and recommends changes (a tool called 27% of the time that should be nearer 50%), and lets you A/B test and simulate a change before it ships.
- Token cost per skill shows what earns its keep and where to cut, and an independent audit trail on every run lets you scale to reputation-bearing work.
