We design, build and deploy AI agents and agentic workflows that eliminate repetitive work, cut error rates
and dramatically improve how government and enterprise services are delivered.
# Initialising PA Agent Runtime v2.4agent = PAAgent("procurement-classifier")# Connect toolsagent.add_tool("document_reader")agent.add_tool("govt_portal_scraper")agent.add_tool("email_dispatcher")# Deploy with memory + guardrailsagent.set_memory(backend="postgres")agent.set_guardrails(compliance="ngov-2025")agent.deploy(env="production")✓ Agent live — processing 47
documents/min✓ 0 errors · 99.97% accuracy · SLA met
80%
time saved
24/7
uptime
10×
throughput
What we're talking about
What is an AI Agent — and why does it matter?
Most software waits to be told what to do. An AI agent decides, acts, and adapts — on its own — to get a job
done.
Traditional
Software
Follows a fixed script
✗ Only does exactly what it's programmed
for
✗ Breaks when inputs are unexpected
✗ Requires human decision-making at every
branch
✗ Cannot reason, summarise or adapt
AI Agent
Understands goals, not
just commands
✓ Perceives context and plans multi-step actions
✓ Uses tools — APIs, databases, browsers, emails
✓ Adapts to unexpected situations and self-corrects
✓ Works autonomously 24/7 with memory and guardrails
Agentic Workflows
When
agents work together
An agentic workflow is a chain of specialised agents, each handling a slice of a complex task — handing
results off, checking each other's work, and looping back when something's wrong. Think of it as a highly
coordinated team of digital workers.
Trigger / Input
→
Orchestrator Agent
→
Specialist Sub-Agents
→
Review & Guardrails
→
Action / Output
Agents
communicate via structured messages · memory persists across sessions · humans stay in the loop where required
Real-world applications
What agents can do for your organisation
Select
your sector to see the specific workflows we can automate for you.
01
Permit & Application
Processing
Agents read, classify and route permit
applications. They verify documents, check eligibility, flag errors and send status updates — without human
input.
↓ 90%
processing time
02
G2P Disbursement Monitoring
Monitor, reconcile and report on
government-to-person payment flows. Agents detect anomalies, flag duplicates and generate audit-ready
reports in real time.
↓ 95%
reconciliation errors
03
Citizen Inquiry & Complaint
Agent
AI agent handles citizen emails,
WhatsApp and portal messages — classifies issues, retrieves case data and gives accurate responses with zero
wait time.
↑ 4×
citizen satisfaction
04
Procurement Intelligence
Agents scrape tender portals,
summarise EOIs, extract eligibility criteria and pre-populate bid templates — saving weeks of manual
procurement research.
↓ 85%
research time
05
Civil Service Onboarding
Agent
Automates staff onboarding across MDAs
— collects forms, verifies identity, provisions access and notifies all relevant departments sequentially.
↓ 70%
onboarding cycle
06
Compliance & Audit Agent
Continuously monitors transactions and
records across systems for compliance, generating flagged reports and escalations without manual review.
↑
100% audit coverage
01
KYC & Onboarding Automation
AI agents verify identity documents,
run AML checks and pre-fill onboarding data — cutting KYC from days to minutes.
↓ 92%
KYC cycle time
02
Financial Statement
Generation
Agents pull transaction data, apply
IFRS rules and auto-generate P&L, balance sheet and cash flow statements — audit-ready, every month.
↓ 80%
reporting time
03
Fraud Detection Pipelines
Multi-agent systems that monitor
real-time transactions, spot anomaly patterns and escalate flagged cases to compliance teams instantly.
↑ 3×
detection accuracy
01
Patient Triage & Routing
Agent
Agents assess patient intake forms,
flag urgency levels and route to the right department — reducing ER bottlenecks and wait times.
↓ 60%
triage time
02
Clinical Notes
Summarisation
AI reads doctor notes, unstructured
EMR data and discharge summaries — producing clean structured records that integrate with any HIS.
↑ 95%
data completeness
03
Supply Chain & Drug
Inventory
Agents monitor medication inventory
across facilities, predict shortfalls and auto-trigger re-orders to central pharmacies.
↓ 75%
stockout incidents
01
Internal Knowledge
Assistants
A RAG-powered agent trained on your
internal docs, policies and SOPs — answers staff questions instantly, accurately and with citations.
↓ 65%
helpdesk tickets
02
Email & Inbox Triage Agent
Reads, classifies and drafts responses
to incoming email. Prioritises, routes and flags urgent messages — keeping inboxes at zero.
↓ 70%
email response time
03
Contract Analysis &
Extraction
Upload any contract — agents extract
key clauses, obligations, dates and risk flags. Structured JSON output drops straight into your CRM or DMS.
↓ 88%
review time
How we work
Build. Deploy. Test. Maintain.
We handle the entire lifecycle — from understanding your workflow to running a live agent in production with
monitoring and guardrails in place.
1
Discovery &
Workflow Mapping
Week
1–2
We sit with your
team to understand the exact process we're automating — every step, every decision point, every exception.
We map the workflow, identify where AI adds the most leverage, and define the guardrails upfront.
We design the
agent architecture — choosing the right LLM backbone, toolset, memory strategy, retrieval approach (RAG vs
fine-tuning) and orchestration framework. We write the system prompt, define tool schemas and structure
the evaluation criteria.
Model selectionTool schema designRAG pipeline setupPrompt engineering
3
Build & Integration
Week
4–8
We build the agent
into your existing stack — integrating with your APIs, databases, portals and communication channels. The
agent is containerised, version-controlled and deployed via CI/CD with full rollback capability.
API integrationsDatabase connectorsDocker deploymentAuth & security
4
Testing &
Red-Teaming
Week
7–9
We don't just test
for happy paths. We red-team the agent — throwing adversarial inputs, edge cases and load tests at it. We
use structured eval suites to measure accuracy, hallucination rate, latency and compliance before a single
user touches it.
Post-launch, we
run live dashboards tracking every agent action, error, and output. Monthly improvement cycles refine the
agent based on real usage patterns. We stay on — you're never left holding a black box you can't
understand.
We've built
for African institutions. We know the constraints.
01
Compliance-first by design
We build with Nigerian and African
regulatory contexts in mind — NDPRf, CBN guidelines, NITDA frameworks. Guardrails are baked in, not bolted
on.
02
Stack you already own
We integrate with your existing systems
— not the other way around. Postgres, REST APIs, WhatsApp Business, Excel, whatever you have. No
rip-and-replace.
03
Humans always in the loop
We design agents that escalate when
they're uncertain, flag exceptions and keep an auditable trail. You always know what the agent did — and
why.
04
Low-bandwidth resilience
Agents built to handle intermittent
connectivity, async queuing and graceful degradation — because African infrastructure is real, and we design
for it.
05
Full team, not freelancers
You get engineers, an AI architect, a
QA specialist and a project manager — not one person wearing five hats. Coordinated delivery from day one.
06
We've done this in
production
Live agents across GBMDP, ProspectAI,
Storlo and government portals — not prototypes.