Banks and fintechs in Nigeria handle large volumes of KYC documents, customer conversations and compliance paperwork. Innometrique builds production AI agents, RAG pipelines and document AI that take the repetitive load off those teams, with people reviewing the exceptions.
We are a Bengaluru-based engineering team delivering remotely, with about six shared working hours a day with Lagos, and we design around the Nigeria Data Protection Act (NDPA) from the first workshop.
Onboarding and KYC document AI, support agents with human escalation, and retrieval over policy and compliance documents.
Data handling, retention and cross-border transfer choices are agreed up front, so compliance can sign off on the design early.
Weekly demos and a named senior engineer, with working hours that overlap your Lagos day.
Document AI reads IDs, proof of address and statements, validates them against your rules, and routes only low-confidence cases to reviewers.
Agents that answer from your own policies and product documents, hand off to a person when unsure, and log every conversation.
Cited answers over internal policies, circulars and procedures, so staff can verify the source instead of searching shared drives.
Fast, cited access to playbooks, contracts, SOPs and project knowledge for your staff.
Agents that read tasks, trigger actions and route exceptions across the tools you already use.
Systems that know when to act, when to ask and when to escalate, with a clear trail for every decision.
Retrieval that grounds answers in your own documents, so people can verify instead of trusting blindly.
Cross-border transfer, retention and access questions are raised in the first workshop and shape the architecture.
Audit trails, confidence scores and human review are part of the design, not add-ons.
Discovery, architecture, implementation and iteration against real workflows, with weekly visibility.
We tell you whether an AI agent is the right fit before building one.
Start with a short consultation. We’ll help you identify the highest-leverage workflow to automate first and whether an AI agent is the right fit.
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