AI Agent Development Company in Lagos

Lagos agent pricing follows the number of domains the system has to cover: a scoped agent proof of concept at Lagos rates, a production single-domain agent (merchant onboarding, KYC, collections, customer-service for one product line), or a multi-agent enterprise rollout at GTBank or MTN Nigeria scale. Scope drivers include an NDPA DPIA, a Pidgin-aware NLU baseline, a hosted demo against your sandbox, an evaluation harness, monitoring, and CBN Consumer Protection review. We quote fixed-fee in both NGN and USD, holding USD pricing flat against Naira volatility so your CFO can budget against a stable number. Rates run materially below Dubai, London, or New York because our Chandigarh and Edmonton engineering hubs absorb the build, with Chandigarh handling Lagos-hour client coordination directly.

Foundation models from OpenAI, Anthropic, and Google handle standard Nigerian English reasonably well but degrade fast on Nigerian Pidgin, Yoruba, Igbo, and Hausa, and they break entirely on the code-switching real Lagos customers use (an MTN subscriber on a billing call mixes English, Pidgin, and Yoruba in one sentence). We build a Pidgin-aware NLU layer on top of foundation models using AfriBERTa, AfroLM, and Masakhane community work, fine-tuned on a client-specific transcript corpus (typically 5,000 to 20,000 labelled turns from your contact center). We document residual gaps in Yoruba, Igbo, and Hausa coverage honestly in the model card, and route to human agents on low confidence rather than hallucinating a response that ends up in a Cybercrimes Act complaint.

Yes, with discipline. The Central Bank of Nigeria has not banned AI in financial services, but the Consumer Protection Framework, the CBN Risk-Based Cybersecurity Framework, and NDPA Section 39 (automated decision-making) all apply. Agents that take consequential actions (denying a loan, blocking a transfer, closing an account) need documented human-in-the-loop review for material decisions, an NDPA DPIA filed with your Data Protection Officer, and audit logging the CBN examiner can pull on demand. We ship every banking agent with these artefacts, plus a challenger-model comparison and a fairness review against Nigerian protected classes. Fintechs under CBN Payment Service Bank or Switching and Processing licenses follow the same playbook, with additional NITDA notification where Section 39 thresholds are crossed.

The Nigeria Data Protection Act 2023 (NDPA) supersedes the older NDPR (2019) and is modeled on GDPR. Agents processing personal data of Nigerian data subjects require a lawful basis (typically consent, contract, or legitimate interest), an NDPA DPIA when the processing is high-risk (which most consequential agents are), data subject access and erasure mechanisms, and Section 39 obligations on automated decision-making including a right to human review. Cross-border transfers (e.g. inference on US OpenAI endpoints) require an NDPA Section 41 adequacy or appropriate safeguards assessment, which is why we default to AWS af-south-1, Azure South Africa North, or self-hosted models in MainOne or Rack Centre for sensitive workloads. Our DPIAs use the Nigerian Data Protection Commission (NDPC) template.

Yes. We have shipped agent integrations with Flutterwave (PSP, virtual cards, transfers, Send), Paystack (charges, subscriptions, transfers, terminal), Interswitch (Quickteller, Verve, switching APIs), Remita, and Moniepoint, plus the NIBSS Instant Payment (NIP) rails the agent ultimately settles against. We handle BVN and NIN verification through CBN-licensed providers (Smile Identity, Prembly, Youverify, Dojah, VerifyMe Nigeria), CAC business verification for merchant onboarding agents, and KYC Tier 1/2/3 logic per CBN's three-tier framework. Webhook handling, idempotency, retry, and reconciliation patterns sit inside every agent because Naira-rail failure modes are not the same as Stripe or Plaid edge cases.

A single-domain production agent (one CBN-licensed institution, one channel, one workflow such as merchant onboarding or card-dispute customer service) takes fourteen to twenty-two weeks from kickoff to production rollout, assuming reasonable access to historical transcripts and a designated Data Protection Officer. Week 1 to 3 is NDPA DPIA, CBN Consumer Protection review, and data audit. Week 4 to 10 is NLU baseline, Pidgin tuning, prompt and policy work. Week 11 to 16 is evaluation harness, shadow mode against live volume, and internal audit review. Week 17 onward is gradual cohort rollout with kill-switch in place. Multi-channel or multi-product rollouts (e.g. GTBank-scale full contact-center transformation) take twelve to eighteen months and run as a program rather than a project.

Honestly, partially. Frontier foundation models from OpenAI, Anthropic, and Google have weak coverage of Yoruba, Igbo, and Hausa compared to English, French, or Mandarin, and the Masakhane and AfriBERTa community work, while excellent, does not yet reach production quality on every domain. For Lagos-only deployments where Pidgin and English cover most volume, we ship in those two and document Yoruba/Igbo/Hausa as escalation-to-human paths. For deployments needing genuine three-language coverage (Lagos State government services, MTN northern-Nigeria customer support), we scope a longer corpus-collection and fine-tuning phase, partner with Masakhane researchers when appropriate, and price honestly rather than overpromise. We will not ship a Hausa agent that hallucinates.

By default we host inference and storage in AWS af-south-1 (Cape Town) or Azure South Africa North (Johannesburg) for African data residency, or in MainOne Equinix LG1 Lagos, Rack Centre, and Africa Data Centres LGS for in-country residency when NDPA Section 41 review or sector regulator (CBN, NCC) instructions require it. For CBN-licensed institutions handling Tier 2 and Tier 3 KYC data, we typically self-host Llama 3 or Mistral on local GPU rather than send raw PII to US OpenAI or Anthropic endpoints. We document residency, cross-border flows, and sub-processors in the DPIA and in the data processing agreement so the NDPC, the CBN examiner, and your internal compliance team all see the same answer.