Agentic assurance · Singapore

Assurance you can interrogate.

AssureIQ builds AI platforms for investigation, risk and security assurance. Every output cites its evidence, labels hypotheses as hypotheses, and waits for a person to sign off, so the work stands up to a board, a regulator or an inspection.

About AssureIQ

Practitioners who know the work. Engineers who ship it.

AssureIQ was founded on a simple observation: AI tools for assurance are usually built by one side or the other. Auditors design what they need but can't build it to enterprise grade. Engineers build impressive systems that don't survive contact with a real engagement, or a real inspection. AssureIQ brings the two together.

20+

Years across statutory audit, internal audit, enterprise risk and corporate investigations

Board.

Trusted at board and C-suite level on high-stakes, sensitive matters

2×

Founding disciplines under one roof: assurance practice and enterprise engineering

Founding partner · The practice

Incito Consulting

Senior practicing auditors with decades of experience across statutory audit, internal audit, enterprise risk and corporate investigations, trusted at board and C-suite level on high-stakes, sensitive matters.

  • Deep, current fieldwork experience, not advisory theory
  • Governance, ethics and investigation methodology
  • Working knowledge of what regulators and inspectors actually test
Founding partner · The build

Tangent9

Experienced senior engineers who build enterprise AI that makes it out of the pilot: designed properly, governed from day one, and running in production day after day.

  • Agentic architecture, orchestration and guardrails
  • Multi-tenant security, isolation and data residency
  • A track record of AI systems in daily production use
&

The best of both came together to solve one problem: assurance teams need AI they can defend, not just AI that demos well. Incito brings the professional judgement: what counts as evidence, where a human must decide, what an inspector will ask. Tangent9 brings the engineering: the orchestration, guardrails and audit trails that enforce those rules on every single run. Every AssureIQ platform is designed by the people who will be held accountable for its output, and built by the people who keep it running.

Our products

Three platforms. One trust layer.

Each platform runs on the same control plane: AI agents do the heavy lifting, and every action is grounded, cited, logged and gated for human sign-off.

CI · Investigations

AI-Powered Corporate Investigation Platform

Run sensitive investigations, from fraud and misconduct to whistleblowing, with AI agents that triage intake, map evidence and draft findings inside strict confidentiality walls.

  • Need-to-know case access with ethical-wall controls
  • Specialist agents for triage, evidence review and interview prep
  • Hypotheses clearly labelled; conclusions remain human
  • Court- and regulator-ready evidence and audit trail
RM · Enterprise risk

Intelligent Enterprise Risk Management Platform

Move from a static risk register to a living risk function: agents that keep registers current, monitor appetite, and map how risks connect and cascade across the enterprise.

  • Risk registers maintained and challenged by AI
  • KRI and risk-appetite monitoring in real time
  • Interdependency mapping and scenario analysis
  • Board-ready risk reporting, drafted with citations
BB · Security assurance

AI Bug Bounty Platform

Continuous security assurance for your systems: AI agents that triage, reproduce and validate vulnerability reports, so your team acts on verified findings rather than noise.

  • AI triage and de-duplication of incoming reports
  • Validated, reproducible findings with severity scoring
  • Researcher workflow, disclosure and remediation tracking
  • Assurance-grade reporting for audit and compliance
The trust layer

Why our AI holds up under questioning.

Assurance work gets challenged by boards, regulators and opposing counsel. Four rules are enforced on every agent, on every run, by design.

RULE 01

Hypotheses, not conclusions

Agents surface what the evidence suggests. Findings are labelled as hypotheses until a qualified person concludes.

RULE 02

Every claim cites its evidence

Material assertions link back to the source document, ledger line or standard paragraph. Ungrounded output is flagged.

RULE 03

Need-to-know grounding

Agents read only the evidence they are granted, scoped to the case, the folder, the engagement. Nothing more.

RULE 04

A person signs off

Human-in-the-loop gates on every consequential output, with an immutable trace of who reviewed what, and when.

Start a conversation

See a platform on your own data.

Tell us about your assurance, risk or security function and we'll arrange a walkthrough built around your scenarios, not canned demos.

enquiries → connect@incitoconsulting.com
What happens next
01

Intro call

Tell us about your function, your engagements and where AI could carry the load.

02

Guided walkthrough

See the platform working on scenarios like yours, with the trust layer in action.

03

Scoped pilot

Agree a bounded pilot on your data, under your governance and your guardrails.

Email an enquiry