Know what your AI is delivering
Your teams keep the AI tools they use for their own work. Unloq handles the decisions that matter, within the rules you set, with every answer traced to its source.
Know what your AI is delivering
Your teams keep the AI tools they use for their own work. Unloq handles the decisions that matter, within the rules you set, with every answer traced to its source.
Know what your AI is delivering
Your teams keep the AI tools they use for their own work. Unloq handles the decisions that matter, within the rules you set, with every answer traced to its source.
“Why is the plan behind on two of its five bets?”
Ask why, and Unloq ranks the causes and tells you what needs to be done.
“Why is the plan behind on two of its five bets?”
Ask why, and Unloq ranks the causes and tells you what needs to be done.
“Why is the plan behind on two of its five bets?”
Ask why, and Unloq ranks the causes and tells you what needs to be done.
Trace it to the plan’s assumption
Unloq shows the assumption under the bet, what the orders say now and how far the gap has grown.
Trace it to the plan’s assumption
Unloq shows the assumption under the bet, what the orders say now and how far the gap has grown.
Trace it to the plan’s assumption
Unloq shows the assumption under the bet, what the orders say now and how far the gap has grown.
Get the recommended next step, and delegate it
Unloq recommends one step and says why. Approve it and send it to the person who will do it.
- Based on 9 similar calls in your history.
- Calls Unloq rated 60 to 70% worked 63% of the time.
- Main evidence: direct accounts are growing at 11% against 8% planned, while distributor orders are growing at 4% against the 12% the plan assumes.
Odds checked against your own history. How the odds are checked
Get the recommended next step, and delegate it
Unloq recommends one step and says why. Approve it and send it to the person who will do it.
- Based on 9 similar calls in your history.
- Calls Unloq rated 60 to 70% worked 63% of the time.
- Main evidence: direct accounts are growing at 11% against 8% planned, while distributor orders are growing at 4% against the 12% the plan assumes.
Odds checked against your own history. How the odds are checked
Get the recommended next step, and delegate it
Unloq recommends one step and says why. Approve it and send it to the person who will do it.
- Based on 9 similar calls in your history.
- Calls Unloq rated 60 to 70% worked 63% of the time.
- Main evidence: direct accounts are growing at 11% against 8% planned, while distributor orders are growing at 4% against the 12% the plan assumes.
Odds checked against your own history. How the odds are checked
Before anyone can say what AI is delivering, someone has to decide where it should start. Republic M brought us in for an AI discovery, and its CFO described what came out of it.
Their methodology gave us a clear view of our AI maturity, a practical roadmap for adoption, and a set of prioritised, fully scoped use cases aligned with our commercial and operational goals.
Ask which bets the data still supports
Example answers from a made-up company. On yours, every figure traces back to its source.
Ask which bets the data still supports
Example answers from a made-up company. On yours, every figure traces back to its source.
Ask which bets the data still supports
Example answers from a made-up company. On yours, every figure traces back to its source.
Questions we get asked
For whoever leads AI adoption across the business.
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You
Still have questions?
Send us the question you would most like answered about your own business.
Keep building: Unloq runs alongside your team’s projects, and you stay the owner of the AI programme. Unloq takes on the part that is slowest to get right in-house: answers leadership can use on decisions with money attached. Figures are computed in code and checked against the calculation that produced them, definitions are versioned, and every approval is logged. Your team keeps the projects that fit your own processes.
Unloq runs alongside the other AI tools in the business. The pattern we keep meeting is a new AI lead finding that every department runs its own tools and none of them scales across the business. Unloq is where the decisions those tools inform get made and measured. Unloq reaches what you connect through integrations and MCP connectors, so the outputs of other tools can become sources too, and every answer still names the source it used.
You do. Whoever leads AI adoption sets the definitions Unloq works from, the limits a recommendation cannot cross, and which roles can see and approve what. A change to any of them goes on record with its date and who made it, and every action waits for a named person’s sign-off. When the board asks how AI is governed in your business, the answer is a set of rules you wrote and a log of every time they applied.
No. An AI plan is easiest to defend when it is judged on business results like everything else, which is why Unloq starts from a business decision, such as which bet in the plan to re-test, rather than from a model. Each approved decision goes on file with what it was expected to deliver and what it did, so the AI plan and the business plan are measured on one record. Read how to build an AI strategy from what you already have.
Questions we get asked
For whoever leads AI adoption across the business.
+
You
Still have questions?
Send us the question you would most like answered about your own business.
Keep building: Unloq runs alongside your team’s projects, and you stay the owner of the AI programme. Unloq takes on the part that is slowest to get right in-house: answers leadership can use on decisions with money attached. Figures are computed in code and checked against the calculation that produced them, definitions are versioned, and every approval is logged. Your team keeps the projects that fit your own processes.
Unloq runs alongside the other AI tools in the business. The pattern we keep meeting is a new AI lead finding that every department runs its own tools and none of them scales across the business. Unloq is where the decisions those tools inform get made and measured. Unloq reaches what you connect through integrations and MCP connectors, so the outputs of other tools can become sources too, and every answer still names the source it used.
You do. Whoever leads AI adoption sets the definitions Unloq works from, the limits a recommendation cannot cross, and which roles can see and approve what. A change to any of them goes on record with its date and who made it, and every action waits for a named person’s sign-off. When the board asks how AI is governed in your business, the answer is a set of rules you wrote and a log of every time they applied.
No. An AI plan is easiest to defend when it is judged on business results like everything else, which is why Unloq starts from a business decision, such as which bet in the plan to re-test, rather than from a model. Each approved decision goes on file with what it was expected to deliver and what it did, so the AI plan and the business plan are measured on one record. Read how to build an AI strategy from what you already have.
Questions we get asked
For whoever leads AI adoption across the business.
Keep building: Unloq runs alongside your team’s projects, and you stay the owner of the AI programme. Unloq takes on the part that is slowest to get right in-house: answers leadership can use on decisions with money attached. Figures are computed in code and checked against the calculation that produced them, definitions are versioned, and every approval is logged. Your team keeps the projects that fit your own processes.
Unloq runs alongside the other AI tools in the business. The pattern we keep meeting is a new AI lead finding that every department runs its own tools and none of them scales across the business. Unloq is where the decisions those tools inform get made and measured. Unloq reaches what you connect through integrations and MCP connectors, so the outputs of other tools can become sources too, and every answer still names the source it used.
You do. Whoever leads AI adoption sets the definitions Unloq works from, the limits a recommendation cannot cross, and which roles can see and approve what. A change to any of them goes on record with its date and who made it, and every action waits for a named person’s sign-off. When the board asks how AI is governed in your business, the answer is a set of rules you wrote and a log of every time they applied.
No. An AI plan is easiest to defend when it is judged on business results like everything else, which is why Unloq starts from a business decision, such as which bet in the plan to re-test, rather than from a model. Each approved decision goes on file with what it was expected to deliver and what it did, so the AI plan and the business plan are measured on one record. Read how to build an AI strategy from what you already have.
+
You
Still have questions?
Send us the question you would most like answered about your own business.