Discipline
Automation and agents
Building what works on its own and keeps working when nobody is watching it.
10 services in this discipline
This is yours if
Hiring is frozen and volume keeps going up.
Last year's pilot is still a pilot.
A process that matters depends today on a shared spreadsheet.
Use this today, without hiring anyone
Non-human identity governance
Six steps and one signature on each. Take your three agents or service accounts with the most privilege and write a person's name next to each step, not a department:
- Creation. Who approves that the agent exists, and for what.
- Credential. Who issues it, where it is stored and who knows it.
- Scope. Who sets what it can do and on which systems. And who reviews it when that changes.
- Expiry. When it lapses if nobody renews it. If it never lapses, that is the finding.
- Revocation. Who cuts it off on a Sunday, and how fast.
- Log. Who reviews what it did, how often and by what criterion.
Your identity tool already handles much of the detection. What it does not settle is who signs: the missing names are your finding. Look first for agents using a person's session, because those go through none of the six.
It comes from Non-human identity governance. Every service in this discipline brings its own.
The 10 services in this discipline
How many hours a month go into work that could simply not exist?
They gave me a productivity target without any extra headcount.
On the data from your own tickets: how many hours go into repetitive work, which ones get eliminated and in what order.
See the situationFrom use case to productionWhy is your AI pilot not making it into production?
The pilot worked, everyone applauded and eight months later it is still a pilot.
From demo to real operation: with an owner, an operating manual, monitoring, cost per outcome and a shutdown criterion written before it gets switched on.
See the situationCustom operational applicationWhat do you do when a process that matters lives in a spreadsheet?
We run it in a spreadsheet and no product on the market does exactly this.
An application for your process, built fast and with the code in your name. With a named owner and the three year cost of operation stated in the proposal.
See the situationDomain document assistantHow does your team find what the organization already knows?
Everything we know is written down and nobody finds it when they need it.
An assistant that answers from your documentation, always cites the source and says "I do not know" when it does not, with the accuracy rate measured before anyone is shown it.
See the situationAgentic operation guardrailsHow far can an agent go on its own, and who stops it?
The agent no longer just answers: it executes. Nobody defined how far it can go on its own.
What your agent can do on its own, what requires approval, what stops it and who answers when it acts wrongly. Built and tested with a real stop.
See the situationProduction model monitoringIs your model still working as well as it did on day one?
The model still answers. Nobody can prove it answers as well.
The measurement, the threshold and the shutdown criterion installed and handed over running to your team. We do not stay watching the dashboard.
See the situationAgent continuity planningHave you ever tested the failure plan for your AI agents?
The process already depends on the agent and nobody remembers how it was done by hand.
Plan B, written and actually tested: the agent gets switched off and how long your team takes to pick it up gets measured.
See the situationNon-human identity governanceWho signs each step in the life of an agent in your organization?
The tool already comes with agent identity. Nobody defined who signs each step.
The six life steps of every agent and every service account, each with someone who signs: creation, credential, scope, expiry, revocation and log.
See the situationAI-Built Software and Agent RescueWhat do you do when something built with AI, or left behind by the vendor, is already holding up a process?
We built it with AI in a week, it worked, and now the whole operation uses it.
What got built fast, or what the vendor left behind, taken into production: secured, with a tested backup, a named owner and everything in repositories of your own.
See the situationForward Deployed EngineersYou bought the AI platform, and the engineer who makes it work was not included?
We have the AI licenses, and my team is busy keeping what already exists running.
A team inside your operation, by mission and at a fixed price: it delivers what was agreed, hands it over to your team and leaves. No license to sell you.
See the situationIn the network
Where each of its services comes in.
By the cycle
Vanguard“I want to move forward” · guideForge“I want to implement” · buildTaskforce“I want to stabilize” · sustainBy discipline
AI strategy7AI governance and compliance9Automation and agents10Data and analytics4Cybersecurity and resilience4Critical operations and crisis5Mergers, separation and diligence4Cost of AI and software6Infrastructure and platform6Its services
Toil reductionForgeFrom use case to productionForgeCustom operational applicationForgeDomain document assistantForgeAgentic operation guardrailsForgeProduction model monitoringForgeAI-Built Software and Agent RescueForgeForward Deployed EngineersForgeAgent continuity planningTaskforceNon-human identity governanceTaskforceEach thread is a service. A click on a door, another discipline or a service opens its page.
Or see it by the cycle: Vanguard, Forge and Taskforce. Or by the question you arrive with, in the seven questions. And if you already know the name, there is the full list.
What is the decision you have in front of you this week?