For your role
For Risk & Compliance
What you are trying to solve
Business pressure to deploy AI runs ahead of policy in many organisations. Compliance teams are asked to bless pilots that have no logging, no evaluation methodology and no owner after the vendor leaves. You need a build partner who treats governance as part of the product specification.
We do not invent certifications or claim standards we have not earned. We do build the controls, documentation and evidence that your frameworks require.
What we deliver for you
- A governance and security baseline in the discovery pack — data flows, model choices, human oversight, logging and retention
- Every agent action logged and attributable: actor, inputs, tool calls, outputs, model version
- Red-teaming and guardrails for prompt injection, data exfiltration and policy violations
- Evaluation suites that include compliance scenarios — not only accuracy metrics
- Data residency configuration by region: India, UAE, Australia, EU, US
- Model risk documentation: intended use, limitations, monitoring plan, escalation paths
- No client data used to train shared models
Governance is not a phase
Controls are designed in discovery and implemented in the first sprint — not scheduled for phase two after go-live. Logging, access control and evaluation harnesses are as mandatory as authentication.
Human oversight by design
We map which decisions require human approval, which can be automated with sampling review, and which must never be automated. That mapping is documented, implemented in workflow and tested in evaluation.
Third-party models
When frontier or hosted models are in scope, discovery documents data handling by the provider, network paths, retention and fallback options. On-premise or private deployment is available where policy requires it.
Evidence for audit
You get architecture diagrams, data flow maps, control descriptions, test results and runbooks — maintained as the system evolves. Managed run includes ongoing evaluation evidence and change logs.
Sector considerations
Education, media, and brand each ship different work: lessons, articles, graphics. The Industries pages describe those use cases. Discovery maps the first one to a product.
We complete vendor security questionnaires during onboarding. Specific attestations and contractual terms are handled in agreement, not implied on marketing pages.
What we need from you
- Your policy constraints early — residency, retention, approved providers, segregation requirements
- A compliance counterpart in discovery workshops
- Sample audit questions or framework mappings you already use
- Agreement on what must be logged and how long logs are retained
Questions risk and compliance teams ask us
Can you sign our vendor risk questionnaire?
Yes. We complete standard security and privacy questionnaires as part of onboarding. Specific legal terms are handled in contract, not on this page.
How do you handle model explainability?
We document intended use, training and retrieval sources, known failure modes and monitoring signals. Full interpretability varies by model type; we are explicit about limits rather than implying certainty we cannot support.
What if regulations change after go-live?
Managed run includes a quarterly roadmap. Regulatory change is a trigger for architecture review, evaluation updates and control adjustments — not a surprise discovered in audit.
Can we map your controls to our internal control framework?
Yes. Discovery baseline is written to be mappable. We participate in control mapping workshops with your risk team during build.
Evidence pack at go-live
You receive data flow diagrams, control narrative, evaluation results summary, red-team findings and remediation log, logging specification and sample audit trail — maintained in managed run as the system changes.
Related services and reading
AI Discovery and Strategy starts every engagement. Data and AI Foundations, Generative AI and Agent Engineering, ML Engineering and LLMOps, and Application Modernisation follow as scoped increments. How we work describes Perceive, Engineer, Deliver and Run. Insights publishes fortnightly on evaluation, cost, governance and operations.
Named case studies publish when clients allow naming. Until then, role pages, FAQ and Engagements describe delivery honestly — fixed discovery fee credited within sixty days, fixed-scope build increments, managed run optional, handover any time.
We do not invent client logos, outcome statistics or certifications on these pages. Select your region on contact — India, Middle East, ANZ or Other. Glossary defines terms like evaluation harness, agent, residency and increment in plain language.
Getting started
Write to hello@incubics.com with your role, region and use case in two sentences. We respond within one business day with a scoping call invite. Incubics formed in 2026; discovery is two weeks fixed fee; production by week twelve of the build. Contact form regions: India, Middle East, ANZ, Other.
Bring your sponsor, a sketch of systems in scope and honesty about active pilots. We will tell you if discovery is the right next step or if prerequisite work should come first.
Offices in Bengaluru, Pune and the USA. Legal entity: IQLEXA Technologies Private Limited, registered in Pune. Data residency by region: India, Middle East, ANZ, EU, US and other deployments as scoped.
Keep reading
Next step
Start with two weeks.
A fixed-fee discovery gives you a ranked use-case portfolio, a target architecture, a cost model and a build proposal you can take to your board. If we don't find a case worth building, we tell you.