AI Agents & Business Automation
AI agent development from Nairobi: WhatsApp and web chat agents, document processing, internal knowledge assistants and workflow automation, built securely.
AI agents that answer customers on WhatsApp, read your documents, and move work through your systems: built securely, connected to what you already run, and measured on results.
An AI agent is software that reads, decides and acts: it answers a customer's question from your own policies, extracts the figures from a scanned invoice, drafts a reply for a human to approve, or updates a record in your ERP. Used well, agents take repetitive, text-heavy work off your people. Used carelessly, they invent answers and leak data.
Neurobyte builds AI into real products. We built AI-powered KYC verification and loan decisioning for Asture Credit, AI-assisted hiring in RecruitIQ, AI-driven psychometric insight in TalentSpark AI, and an always-available AI companion in Aura. Because we also run a cybersecurity practice and train teams on the OWASP Top 10 for LLM applications, our agents are built to resist prompt injection and to keep your data where it belongs.
We start with one use case that has a measurable outcome, such as queries resolved without a human, hours of data entry saved, or turnaround time cut, prove it on your real data, and only then scale it.
What's included
- Customer service agents: Agents on WhatsApp, web chat and email that answer from your own knowledge base, capture leads and hand over to a person with the full conversation when they should.
- Internal knowledge assistants: Staff ask questions in plain language and get answers from your policies, manuals and past work, with the source document cited so answers can be checked.
- Document processing: Invoices, KYC documents, forms and contracts read, classified and extracted into your systems, with low-confidence items routed to a person.
- Workflow automation: Agents that act inside your ERP, CRM or ticketing system: creating records, drafting responses and chasing approvals within limits you set.
- AI-assisted decisioning: Scoring and triage for lending, fraud, recruitment or support, with explanations and a human review path for edge cases.
- Secure AI engineering: Guardrails against prompt injection and data leakage, role-based access to what an agent can see and do, audit logs, and Kenya DPA-compliant data handling.
How it works
- Use-case selection: We pick the process where an agent will pay back fastest and agree the metric that proves it.
- Data & integration audit: What knowledge the agent needs, where it lives, which systems it must read or write, and what it must never see.
- Prototype on real data: A working agent tested against your real questions and documents within weeks, not a slide deck.
- Guardrails & evaluation: Adversarial testing for prompt injection and wrong answers, plus a scored test set so quality is measured, not assumed.
- Deploy & integrate: Connected to WhatsApp, your website, email or internal systems, with human handover and monitoring in place from day one.
- Monitor & improve: Conversation review, accuracy tracking and cost monitoring, with the knowledge base updated as your business changes.
What you walk away with
- A production AI agent on the channels you choose (WhatsApp, web, email or internal)
- A scored evaluation set showing accuracy on your real questions
- Prompt injection and data leakage testing before launch
- Integration with your knowledge sources and business systems
- Human handover, audit logs and usage and cost reporting
- Ongoing tuning and support, or a full handover to your team
Frequently asked questions
What is an AI agent?
Software built on a large language model that can understand requests, look up information and take actions within limits you set, such as answering a customer, extracting data from a document or updating a record in your system.
Can you build a WhatsApp chatbot for my business?
Yes. We build AI agents on the WhatsApp Business Platform that answer from your own information, capture enquiries and orders, and hand over to your staff with the full conversation when a person should take over.
Will an AI agent make up answers?
It can if it is built carelessly. We ground agents in your own documents, have them cite the source, test them against a scored set of real questions, and route anything uncertain to a person instead of guessing.
Is our data safe with an AI agent?
It should be designed to be. We control what each agent can see and do, keep sensitive data out of prompts where possible, test for prompt injection and leakage, log activity, and handle personal data in line with the Kenya Data Protection Act.
How much does an AI agent cost?
It depends on the channels, the systems it must integrate with, the volume of conversations and how much it must do beyond answering questions. We scope a single use case first so the cost is tied to a measurable result.
Which AI models do you use?
We choose per use case, balancing accuracy, cost, latency and where data is processed. The agent is built so the underlying model can be changed without rebuilding the product.