Safe and accountable AI
AI governance consulting that builds the controlsinto your systems.
AI governance consulting for companies that already use AI and need it safe and accountable. We inventory what is running, set policies and owners, and build approval and logging into the systems themselves.
30 minutes. You leave knowing which 3 processes to automate first and what they cost you today.
Illustrative example
Trusted by companies worldwide
Trusted by companies worldwide: Braffess, Casa Sors, HollaBoo, Laoom, Guardian Development Group
Results
Governance that lives inside the work.
Controls built on the tools your team already uses.
The problem
AI spreads faster than the rules for it.
78%
of organizations reported using AI in 2024, up from 55% a year earlier.
80%
of AI projects fail by some estimates, twice the rate of other IT projects.
Teams adopt AI tool by tool, and nobody can say what is running, who owns it or what it may decide. Governance starts with that gap.
- Policy on paper: A policy document sits in a shared folder and few people read it.Governance built in: Rules run inside the systems, so every AI action is checked as it happens.
- Policy on paper: Nobody knows which AI tools each team uses.Governance built in: A living inventory lists every system, its purpose and its owner.
- Policy on paper: Decisions made by AI leave no trace to review later.Governance built in: Each action is logged with its inputs, so audits take minutes.
- Policy on paper: Risky actions go through with no human check.Governance built in: Approval steps stop sensitive actions until a named person signs off.
A rule protects you only once it is enforced.
Our data
What AI answers when buyers ask
We asked ChatGPT, Gemini and Perplexity 10 buyer questions about AI audit and compliance. They named 85 companies, and 69% appeared in only one of the three.
| Criterion | ChatGPT | Gemini | Perplexity |
|---|---|---|---|
| Companies named | 41 | 39 | 45 |
| Sites cited most | holisticai.com and deloitte.com (5 of 10) | xcelacore.com (4 of 10) | aicompliancevendors.com (4 of 10) |
Nexum measurement, October 22, 2026, via DataForSEO: 10 buyer questions to each AI, US English, 30 answers in total. 14 companies appeared in all three. Google showed an AI Overview for 10 of the 10 questions.
Is it time?
Signs you need AI governance.
Signals you need this
- Teams use AI tools nobody approved or tracked
- You cannot list who owns each AI system
- Customers or auditors ask how AI decisions are made
- AI touches sensitive data or customer-facing decisions
- Leadership wants proof the AI is under control
When not to invest yet
- Your timeline needs a full governance program in the first days
- You are looking for the cheapest option rather than one that holds up to an audit
- A written report or an audit is all you want, not controls built into working systems
- You cannot give access to your tools or approve the policies and steps we set up
What you get
What our AI governance consulting includes.
- A map of the AI your company already uses, with the hours and dollars each process carries
- A ranked roadmap showing which governance controls to put in place first and which can wait
- Policies, owners and approval rules for each AI system, written in plain language
- Approval and logging steps built into your agents, CRM, inbox and phone tools
- Work shaped by the NIST AI Risk Management Framework and similar guidance, mapped to your actual systems
- Testing of every control end to end before launch, plus team training and documentation
- You own everything we build, including the code, accounts, prompts and data
How it works
The Payback Loop. Five steps. Each build pays for the next.
We don't start with the AI. We start with the money.
Consulting
First, we find the manual work in your company and how many hours each task eats every week.
Process mapConsulting
Each process gets a dollar figure and a rank by payback. You see what to automate first, and what to leave alone.
AI roadmap, ranked by paybackImplementation
We build the first system on the tools you already use. Nothing new for your team to learn.
A working systemImplementation
Every system is tested end to end before launch. It doesn't go live until it works without errors.
Tested, system liveSupport
The first build pays back fastest, so its savings fund the next one. Back to the map, and we keep every system running.
Monthly support (optional)
↺ Back to Map
Consultancies stop at the roadmap. Freelancers build without one. The loop only works when one team runs all five. You approve each step; we do the work.
Your options
Why not a big consultancy, a freelancer, or a new hire?
 Nexum (done for you) | Big consultancy | Freelancer / no-code builder | In-house AI hire | |
|---|---|---|---|---|
| Tells you what to automate first | ✓ | ✓ | Rarely | Sometimes |
| Builds it on the tools you already use | ✓ | Usually hands off to another team | ✓ | ✓ |
| Price fixed before work starts | ✓ | Rarely | Sometimes | A salary, not a project |
| Time to first live system | 14–21 days | Months | Varies | Months to hire, then build |
| You own everything built | ✓ | ✓ | Not always | ✓ |
| Time from you, per week | ~1 hr review | Steering meetings | You manage the project | You manage the person |
| Typical cost | Fixed price per project | Six-figure engagements | Hourly, open-ended | A full-time salary + benefits |
Based on how each option typically works. If another option fits you better, we'll tell you on the call.
FAQ
Questions about AI governance.
- AI governance is the set of policies, owners and checks that keep AI use safe, lawful and accountable. Our AI governance glossary entry covers the definition. In practice it means knowing what AI you run and who answers for each system.
- AI governance consulting starts with an inventory of the AI in use, then sets policies, owners and approval rules. We go further and build those controls into the systems, so rules are enforced automatically and every action leaves a record.
- AI consulting finds where AI pays off and puts it to work. Governance is one part of that job: making sure the systems are accountable. See our broader AI consulting service for the full scope.
- We follow voluntary guidance such as the NIST AI Risk Management Framework, which is built around govern, map, measure and manage. Each function is tied to the real systems and owners in your company.
- Ownership is shared. Legal teams are central to assessing risk and compliance, and each AI system needs a named owner in the business. We help you assign those roles and record them next to the systems they cover.
- We add approval steps for sensitive actions, logging of inputs and outputs, and rule checks before an agent acts. Your team can see what happened and why. Learn more about human in the loop review.
- No. Beyond meeting regulation, governance reduces liability and protects data privacy, security and access. It also makes AI easier to trust and scale, since owners and records exist before something goes wrong. More in AI in audit examples.
- Yes, a small footprint is the easiest time to start. A short inventory, a clear owner and basic logging cost little now and prevent untracked tools from piling up. Read our AI strategy consulting work for planning next steps.
Final step
Pick a time. Let's talk.
You leave knowing which processes to automate first and what each one costs you today, whether we work together or not.
You can keep paying for manual work, or find out this week exactly what it costs you.
What happens on the call
Before
You answer 3 quick questions when you book, so we come prepared.
On the call
We find the manual work that costs you most and put a number on it, live.
Decide
An honest read on whether we're the right fit. If we're not, you'll hear it on the call.
Once you book, we look at your site and tools before the call, so the 30 minutes go to your numbers, not introductions.
Prefer to write first? Email us directly: contact@nexumautomations.com