AI Agents & Automation
Multi-step copilots embedded in operations.
Agents only pay off when they plug into the systems that actually run your business. We design around your tools — CRMs, ERPs, ticketing — with evals, observability and human-in-the-loop where risk is high.
10×
Back-office throughput increase
<2 s
Median agent response time
99.2%
Task completion rate in production
0
Out-of-scope actions in guardrailed runs
What we ship
Capabilities
Tool-using agents that execute real back-office work — quotes, claims, KYC, scheduling and reporting — wired into your existing systems with guardrails.
- 01
Tool/function-calling agent stacks
LangGraph or custom orchestration wired to your APIs, databases and internal tools — with typed tool schemas and retry logic that handles real-world failures.
- 02
Human-in-the-loop approval flows
High-stakes actions — payments, contract generation, account changes — routed to a human reviewer with full agent context surfaced in a single pane.
- 03
Cost, latency & safety guardrails
Token budgets, per-action latency SLOs and output classifiers that prevent the agent from doing anything outside its defined scope.
- 04
Observability, tracing & evals
Every agent run traced end-to-end with OpenTelemetry. Eval harnesses run on every deployment — regression detection before production.
Outcomes
- 10× back-office throughput for structured work
- Reduced error rates vs manual processing
- Measurable cost and safety guardrails
Tech we use
In the field
- 1
Insurance claims processing
Motor claims triaged, documented and routed to adjusters in under 3 minutes — down from 2 business days.
- 2
KYC document verification
Agent extracts, cross-checks and flags anomalies across 6 document types — handling 500 applications per hour.
- 3
Procurement automation
Quote requests, vendor comparison and PO generation automated end-to-end — 10× throughput with the same team size.
How we deliver
Our delivery process
Every engagement follows the same rigorous four-stage approach — so you know exactly what to expect, and when.
- Step01
Task decomposition
We map every sub-task, tool call and decision branch in your workflow before writing a single line of agent code.
- Step02
Tool integration
Typed function schemas for every tool — your CRM, ERP, internal APIs — with sandboxed test environments to catch failures safely.
- Step03
Eval harness
A suite of golden-path and adversarial traces that runs on every deployment. If the agent regresses, the deploy stops.
- Step04
Production observability
Distributed tracing, cost dashboards and alert rules wired in from day one — you see exactly what the agent did and why.
Ready to get started?
Build ai agents & automation for your product
Tell us about your use case — we'll respond within one business day with a proposal scoped to your context.
Related services
More in AI
Swahili NLP & LLMs
Models that actually understand Swahili.
ExploreVoice & Speech AI
ASR, TTS and voice agents tuned for the region.
ExploreVision & OCR
Eyes for documents, IDs and the field.
ExploreHealth AI
Clinical voice notes & decision support.
ExploreLocalization for Global AI
Make foreign models work in Africa.
Explore