Improve how your company works,
with evidence from daily operations.
Find where delays and repeat corrections cost time.
Turn the evidence into tested updates, approved by owners.
Turn recurring problems
into lasting improvements.
- Credit notes matched by hand38 h
- Supplier changes waiting for approval26 h
- Rate card 2026 missing in price checks14 h
- Found in6 corrections by finance
- Tested on40 earlier cases, all passed
- Est. saving38 h a month
Where should we step in?
See which processes show delays, many exceptions or corrections that keep coming back.
Which improvement comes first?
Compare improvements by their expected effect on time, quality and human effort, with the evidence behind each.
Did the change work?
Follow quality, lead time and human effort after each change, so owners see what it delivered.
From daily work
to an approved update.
Capture how the work runs
Agent runs, corrections, questions in your AI tools and activity in your systems, per process.
Find what can improve
You see the corrections that keep coming back, the steps that slow work down and where quality drops.
Rank by value
Each proposal shows its expected effect on time, exceptions or risk, so you can compare priorities.
The owner approves
The process owner sees the rule before and after, with the cases behind it, and decides.
Your company context is updated
Relevant agents and AI answers use the version from its effective date.
- Agent runs1,240
- Corrections38
- Questions in AI tools112
- Median lead time3.1 days
- 6×Same correction on credit notesby 3 reviewersPattern
- 46%Waiting time at finance approvalof all waiting, from system activityBottleneck
- −5Fewer right the first timepercentage points, since last weekDrop
- Credit notes to original invoice38 h
- One approval below €2,50026 h
- Rate card 2026 in all agentsrisk
- NowBooked as new
- ProposedLinked to original
- Based on6 corrections
- ICInvoice checkAgentUpdated
- CCCredit controlAgentUpdated
- AIConnected AI toolsAnswers about credit notesUpdated
Questions and reviews
inform updates to your company context.
- Goes in→
- People ask1,860 questions in AI tools show what people need to know.
- Agents work4,200 runs by 12 agents show what went right the first time, and what did not.
- People check agents354 approvals, edits and rejections show where agent work needs improvement.
- Owners approveAn update goes live only after its owner says yes.
Rules, contracts, customers,
procedures and legislation.
Credit notes go to the original invoice. Approved by the finance owner.
- Comes out→
- To improveA ranked list of what to change, with the hours involved.
- PatternsPatterns in your processes, written as plain sentences.
- What changedEach approved update, with its owner and its version.
- From the agreed dateRelevant agents and AI answers use the new version from its effective date.
Owners review the evidence
before each update goes live.
Owner approval
Every update waits for its owner, with the evidence attached.
Evidence with every proposal
The cases, corrections and figures behind each proposal.
Before and after
Each update tested on earlier cases, with the result next to the current version.
Versioned and reversible
Every version kept; an earlier one can be restored.
Every change recorded
Who proposed, who approved and when.
Rights from your systems
People see proposals and evidence within the rights they already have.
Evidence for audits
Proposals, approvals and changes, exported for AI Act, GDPR and internal reviews.
Not used for training
Your data and questions never train an AI model.
What each team
gets from Intelligence.
Find the steps that slow work down and what they cost, and choose the next process to improve.
Review the evidence and estimated time savings for each proposal, then decide whether it goes live.
Find recurring corrections and the rules behind them. Approve an update for the agents using those rules.
Each rule change is recorded with its version and approver, so audit questions are answered from the record.
Every change has an owner’s approval and an earlier version to return to.
Where does your team make the most corrections today?
Talk to us →
