Enterprise AI
AI is only as good as its understanding of your business.
BusinessOptix provides the context AI needs to deliver results you can trust. Capture how work is performed, the systems it relies on, and the controls that govern it. Identify the highest-value opportunities, validate outcomes before you invest, and scale successful AI initiatives across the enterprise.
AI stalls between the pilot and the business.
A pilot can be live in days. Most never reach production, and rarely because of the technology. They stall because the AI, and the people deploying it, lack the context of how the business really works and the rules it has to follow.
- Choose×1Chosen without weighing value and readiness
Opportunities are picked on promise, without a full view of the process, systems and data behind them. Value has to be weighed against how ready the process is for AI.
- Design×2Designed on a tidy version of a messy process
Real processes run in many variants. They rely on judgement and experience that was never written down. A design that misses them fails in live operations.
- Commit×3Foreseeable problems found in production
Many problems that surface in production could be seen earlier. Simulate the impact before you build, and you find them before the money is spent.
- Sign-off×4Controls considered too late
Auditors and regulators need evidence that the AI operates within your existing controls. Without it, sign-off stops, however well the AI performs.
- Scale×5Drift goes unnoticed
Once live, agents drift from how they were designed to run. Every drift is exposure. Monitoring conformance to your processes and controls is how you see it early.
Fragmented knowledge leads to poor context, poor context to weak analysis, and weak analysis to pilots that never reach production.
Scale it across the business, and see it all in one place.
Every team gets the same supported path for AI, from first idea to governed agent. Each department draws on the single connected model of the business, and adds to it. The richer it gets, the more you can change, up to the whole business.
Connected In progress Next
| Owner | Source | As designed | |
|---|---|---|---|
| Payment Run Agent | AP team lead | Your teams | 99.2% |
| Invoice capture | AP manager | Vendor A | 98.7% |
| KYC data checks | Onboarding lead | Platform | 96.1% |
| Trade exception triage | Ops manager | Vendor B | 93.4% |
Lead your industry on AI
Move from scattered pilots to AI working in every department, built on how your business really runs.
AI you can prove at scale
Every agent, in every department, is tracked against the process and controls it serves. Show your board, auditors and regulators how AI performs across the business.
Choose AI vendors on evidence
With the whole business connected, see where a vendor’s agents would fit, what they’d touch and what they’d deliver. Compare the options on your own processes before you sign.
Go beyond efficiency
Once the efficiency gains are in place, put AI to work on what sets you apart: new services, better customer experience and growth.
Find where AI will pay back in your business.
There’s no shortage of AI ideas. The ones worth pursuing sit where value meets your strategic priorities, in processes ready to support them. BusinessOptix finds and ranks them across the whole business, so you invest where AI will pay back.
- Start from the full context
BusinessOptix shows where the work, cost and judgement sit, across every process, system, data source and role.
- Validate value and readiness
BusinessOptix sizes the value of each idea. It checks how ready the process and systems are to deliver it, and whether the right controls are in place.
- Choose the right intervention
Workflow, RPA and AI agents sit on a spectrum. Match each task to the option that does the job best and lasts longest.
- Focus on what’s valuable and achievable
Put your effort into the highest-value ideas you can deliver now, and see what it takes to unlock the rest.
Give your agents the context to succeed.
Turning an idea into a working agent comes down to context, and how it’s held. An SOP is written for people to read. An agent needs every step, hand-off, control and dependency held as structured, connected data it can query. BusinessOptix builds it, keeps it current and serves it to your agents every time they act.
“Check the payee before releasing the payment.”
In BusinessOptix- Step
- Assess payee risk
- Comes after
- Rule checks
- Hands to
- AP clerk, for medium and high risk
- Reads
- Vendor master, payment history
- Control
- C-11 Call-back verification
- Limit
- £25,000 per entity, in local currency
- Varies
- PL: call back on every change
Every agent sees the full picture
Each agent connects to the whole model: the step it performs, and the roles, systems, data, controls and outcomes around it. It starts with a complete view of the work it’s part of.
Context for the exceptions too
Because the context is structured and connected, an agent can follow the thread from a step to its controls, policies and country versions. When a case doesn’t fit, it finds the right route, or hands over to a person.
Context where the agent works
Agents read the approved process, controls and limits as they work, through a secure MCP connection. Change the process, and the agent works to the new version.
One context for every AI you use
Vendor agents, platform agents and your own builds all draw on the same context. BusinessOptix sits above them, so you can add or switch AI without starting again.
From first idea to a governed agent.
Start with one process. Then repeat the same steps across the business.
6.1The AP clerkrole creates the payment proposalstep in the ERPsystem every Tuesday.
6.2Rule checksstep run automatically on the proposal.
6.3Any payment to a new or changed bank account must be verified by call-backcontrol before release.
6.4Payments over £25,000rule need approval from the AP managerrole.
6.5Once approved, the bank file is generatedstep and sent to the bank gatewaysystem.
Understand how the process really works
BusinessOptix turns whatever you have, from SOPs and walkthroughs to transcripts or a conversation, into a structured process model, checked and ready to assess.
Pick the opportunities worth pursuing
BusinessOptix finds where AI, RPA or workflow could help, and sizes the value of each idea. It checks how ready the process, systems and controls are. Put value and readiness side by side, and decide what to take forward.
Score each changed or first-time bank account. Clear low risk within the entity’s limit. Refer medium and high risk to the AP clerk with the evidence gathered.
Design the agent into the process
Decide which steps the agent takes on, where it hands to a person and which controls it must respect. Then give it the decision policy, skills, data sources, permissions and guardrails it needs, all drawn from the approved process.
| Threshold | Simulated | Result | |
|---|---|---|---|
| C-05 Payments released over limit | 0 | 0 | Holds |
| C-11 Call-backs on high-risk changes | 100% | 100% | Holds |
| C-14 Four-eyes on release | 100% | 100% | Holds |
| C-09 Referral clearance within 4h | 95% | 88% | Breaks at peak |
Validate before you build
Simulate the change on cost, cycle time and capacity, and check every control still holds. Find the problems before the money is spent.
The step the agent is performing, what comes before and after, and where it hands to a person.
Deploy, connected to the approved process
The agent runs on your AI platform and connects to BusinessOptix through MCP. At every step, it reads the approved process, its decision policy and its controls. Change the process, and the agent follows the new version.
| Count | Reason | |
|---|---|---|
| Assess payee risk | 14 | New payee |
| Evaluate determination | 6 | Evidence |
| Gather evidence | 3 | Data gap |
Prove it follows your rules
BusinessOptix connects to your agent observability tool, and compares what each agent did with the process and controls it was designed for. See conformance, review rates and drift, and give auditors and regulators the evidence they need.
Questions you can answer with confidence.
Where will AI pay back across the business?
Which processes are ready for AI, and what needs fixing first?
Where would workflow or RPA do the job better than AI?
Which AI vendor fits our processes best?
Is every agent working as designed, and can we prove it?
What would a regulator need to see about our AI, and do we have it?
Tell us where you want AI to work.
We’ll help you find it, validate it and prove it follows your rules.