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.

Where your team works
Reconcile last month's transactions against the ledger
Calling flows that live in Mindset
reconcile-transactions
Get bank lines
Get ledger entries
match_transactions
explain_exceptions
Post to #finance
Mindset Layer
GovernedOwned and approved
AuditableEvery step in the audit trail
ImprovableMeasured, versioned, fixed in config
Reconciliation Agent
1,398 of 1,412 transactions matched. The 14 that didn't are explained and sent to #finance for sign-off.

The problem

The rollout worked. Now business-critical AI runs the company, from individual laptops, owned by one person each.

Claude + skillChatGPT + skillGemini + skillClaude + skillXero MCPHubSpot MCPCommunity MCPCommunity MCPFinanceOperationsSupportRev OpsHRWorkday MCPPersonal laptops & accountsNothing checks itNo record of any of it
Personal laptops
ClaudeChatGPTGemini
Skills4
reconciliation
month-end-close
order-exception
new-starter-onboarding
Connections3
XeroPersonal account
WorkdayPersonal account
ZendeskPersonal account

Trapped

The skills and the connections live in one person's account. Nobody else can run them, change them or call them, so when they're away the business is too.

Unguarded

No evals or gates before a skill ships, and once it runs it reaches anything that account was handed a key to. No record of what it did or what it spent.

Frozen

Nothing is measured, so nobody knows where it's weak. Nothing is versioned, so a bad change can't be undone and a good one can't be repeated.

The solution

Mindset is the agent harness & execution layer for your most important automations

Ingest & Re-provision

Everything your team built on laptops, rebuilt as automations the company runs, so it stops being shadow IT

Skill.md ingestion

Turn skill.md docs on laptops into governed automations, with no engineering time required

Mindset builds everything from a conversion or skill file. Connections, agents, if-this-then-that automation, acceptance criteria & more.

A provisioning plan showing a reused Gong connection, a new score_renewal_risk function, and a new Renewal Risk Analyst agent, each toggled on
Functions

Make your agents create reliable, improvable outputs every single week, swapping prompts and md docs for real automation.

A function's automation steps: explain what is about to run, advance, then run the reconciliation phase
Mindset user MCP

Re-prevision the governed automations into the tools your team works inside, so they don't need to learn a new app.

The Mindset AI renewal risk agent surfaced inside Slack, Microsoft Teams, ChatGPT, and Claude, flagging 2 accounts at risk this week

Govern

Move automations onto Mindset, so they become governed, auditable & transparent

The All Agents list showing Renewal Risk Analyst, Support Triage, and Onboarding Coach with their purpose, recent activity, and Published status
Agent Estate

See everything your team has built in one place, so nobody has to work out what is running

All critical flows owned, versioned, visible in one place. People find what already exists and reuse it, instead of building the same thing for a third time.

Approved connections

Decide exactly what your agents are allowed to touch, so you can minimise the blast radius.

A Gong connection’s Tools tab listing list_calls and get_call_transcript, each Enabled and Passed
Audit trail

Prove what every agent did to any auditor in a click, so an audit is an export and not a project.

An audit activity log of pii.tokenize and pii.reidentify actions by agents and users, with timestamps and success or failure outcomes

Optimise

Any model, any stack and self-hostable so you can stay optimized for the best of every technology ecosystem

Optimise cost, agent performance and models with infrastructure you control.

No lock-in

Any model, any ecosystem, self-hosted if you want it

You stay in complete control; choose the best models, data never leaves your stack, you fit within the existing systems you have today.

Model provider options: ChatGPT, Microsoft, Claude, and Google
Cost and ROI

Continually optimize token costs, so you get the best results for the lowest price, instead of being blind to it.

A cost breakdown chart by agent, showing token spend for Research and Dispute handling
Observability

See exactly what’s breaking and improve every automation via a conversation with AI, so everything is easy to maintain.

An observability view showing 3 failing, 6 working, 1 idle, and 8 never-used agents and connections, with Renewal Risk Analyst and Zendesk flagged as failing

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.
Import & Build — Mindset studio

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.
Govern & Deploy — Mindset studio

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.
Improve — Mindset studio

Common questions

Take control of the AI your team already built.

Book a walkthrough