The platformto know
Regulatory exposure is not a checklist. It is an optimisation problem. Know the business. Debate the trade offs. Work the scenario you can fund.
Agentic scenario generation.
Ranked by our math model.
Specialist agents propose remediation and compliance scenarios from how the business actually runs. Our proprietary engine then ranks that space against hard limits and returns the efficient frontier. Agents expand the option set. The model keeps every outcome defensible.
Regulatory frameworks
Obligations, deadlines and evidentiary thresholds encoded as hard constraints, not checklist items.
Business limits
Budget envelopes, headcount, delivery capacity and risk appetite bound every scenario the engine proposes.
Scenario conditions
Enforcement timing, market entry, vendor change, model retirement. Tested as conditions, not assumptions.
A junior BDM you can
ask for hypotheses.
Ask it to generate hypotheses, it will debate them against your limits, and it will hand you a set of scenarios you can work. Agents expand the option set. Constraints keep every outcome feasible.
01 Ask
Put a question to a junior BDM: what to treat this cycle, where spend is leaking, which vendors stay.
02 Hypothesise
Agents generate competing explanations and action sets from how the business actually runs.
03 Debate
Each hypothesis is stress tested under budget, residual risk, enforcement timing, and hard policy gates.
04 Work the scenarios
You get a shortlist of feasible plans. Send the one you pick into ticketing.
> bdm.ask("What should we treat this cycle?")Analysing spend, obligations,and residual risk you will carry...
Five steps from knowing the business
to a defensible decision.
Know the limits. Generate the options. Work the scenario you can fund.
1introspect.know({2 spend: 'budget envelope',3 obligations: 'must do',4 appetite: 'residual risk'5})
Connect the systems that already
hold your work and your estate.
After Decide, send the selected remediation plan into your connected ticketing system as tasks, with project selection and status that can track back against the plan. Available now: Jira, Vanta, Prefactor, cloud estate, and identity.
Logos and product names identify third-party products for illustration only. They are not endorsements or partnership claims. Availability depends on your environment and each provider's linking flow. GRC platforms are adjacent stack options, for example evidence programs or agent evaluation, not a certification of interoperability with every vendor feature.
Today's tools tell you what is wrong. They cannot tell you what to do about it.
Audit platforms produce findings. Governance suites produce registers. Both stop at the point where the real decision begins: what to fund, what to defer, and what residual risk you are prepared to carry.
£1.2m · residual 6% · Q2
Decision previews are illustrative demo UI, not customer data
Start with a junior BDM.
Sector playbooks follow.
Ask Introspect to generate hypotheses, debate them, and work the scenarios it returns. BDM is available now. Healthcare and Legal use the same loop and are coming soon.
BDM
A junior business decision maker for AI risk. Ask it to generate hypotheses, it will debate them against your limits, and it will hand you scenarios you can work.
- Remediation this cycle
- Cloud cost versus risk
- Asset treatment queue
Healthcare
The same ask, debate, and scenario loop for clinical, patient, and care AI obligations. Coming soon.
- Clinical AI exposure
- Patient workflow risk
- Care system obligations
Legal
Counsel, privilege, and matter workflows for AI exposure, on the same engine. Coming soon.
- Counsel workflows
- Privilege bounds
- Matter exposure
Sector playbooks for clinical, patient, and counsel workflows will follow the same ask, debate, and scenario loop. BDM is available now.
Interested in
Introspect?
Investors, partners, and risk teams. Tell us a little. We will follow up.
- Product walkthroughs for diligence and partnership
- Partnership and pilot discussions for B2B teams
Prefer email? partners@introspect.cloud