Analytics, AI, and cybersecurity consulting for Africa

Fix the fragmented systems behind reporting, documents, and security. Delivered with the discipline large institutions expect.

TechEccentric helps enterprises, public institutions, and regulated operators replace scattered spreadsheets, slow approvals, document backlogs, and security blind spots with analytics, AI, and security systems your leadership can review and trust.

Board visibilityNumbers your leadership can defend without chasing five teams for the real answer.
Operating leverageAI and automation that take the manual routing out of approvals, reports, forms, and records.
Risk controlClear ownership across identity, cloud, alerts, vulnerabilities, and response.
TechEccentric Operating Model
Decision intelligenceExecutive analytics layer

KPIs, data quality, review routines, ML forecasting, and performance review.

Intelligent executionAI, automation, and document intelligence

Agentic workflows, RAG assistants, extraction, validation, routing, and reporting packs.

Operational resilienceSecurity operations layer

Detection, identity controls, cloud posture, vulnerability management, and response.

AssessDesignBuildHardenEnableOperate

The executive problem

Most organizations already have tools. The trouble is what happens between them.

Reports sit in different places. Approvals depend on the one person who knows the workaround. Documents carry important facts that never make it into a system. Security teams see alerts, but not always the business context.

TechEccentric works in the layer between those tools, where decisions get made. We bring senior analytics, AI engineering, cybersecurity operations, and program governance into one firm built for African institutions that hold themselves to global operating standards.

Track record

A senior bench with enterprise delivery behind it.

100+ agenciesAnalytics and AI leadership across a U.S. state modernization program serving millions of citizen sessions each year.
1,500+ endpointsManaged detection and response delivered for more than 15 organizations in live MSSP operations.
25+ yearsSenior energy-sector leadership spanning geoscience, project governance, and stakeholder strategy.
Enterprise deliveryOur principals have delivered data science and analytics work for organizations including Spotify, Cisco, UnitedHealth Group, United Airlines, the State of Connecticut, and McKinsey & Company.

Case studies

Recent work, anonymized where confidentiality requires it.

Where client names are confidential, we describe the problem, the work, the deliverables, and the measured result.

Executive analytics modernization

From scattered reporting to a leadership operating view.

A public-sector modernization program needed clearer performance visibility across 100+ agencies and millions of citizen-service sessions.

  • Delivered: KPI model, executive dashboards, data quality review, and a performance review cadence.
  • Result: Cross-agency reporting cycle cut from about three weeks to under five days.
AI document intelligence

An ingestion pipeline that gave 28,000 clients their hours back.

An enterprise services firm processed client documents by hand: slow intake, manual extraction, and error-prone reconciliation.

  • Delivered: AI-powered document ingestion, extraction, validation queue, and exception routing.
  • Result: About 110 hours of manual handling saved per client per year across a 28,000-client base.
Machine learning: fraud detection

Anomaly scoring cut the noise drowning the fraud team.

A financial services operation ran rule-based alerting that buried analysts in false positives while real cases waited in the backlog.

  • Delivered: Supervised scoring model layered over existing rules, alert prioritization workflow, and a monitored retraining pipeline.
  • Result: False positives routed to analysts dropped by about 40% while the confirmed-case catch rate held.
View All Case Studies

How we work with your data

Access, quality, confidentiality, and ownership are agreed before the build gets large.

Analytics and AI work fails when the delivery team treats data access as a technical afterthought. We start by clarifying what we need, who owns it, what is sensitive, and how the work will be reviewed.

Access reviewConfirm systems, data owners, permission boundaries, and confidentiality expectations before implementation.
Data residencyWork runs inside your environment by default, with residency, NDPA, and POPIA expectations agreed in writing.
Quality auditIdentify missing fields, stale reports, metric conflicts, reconciliation issues, and manual workarounds.
Delivery rhythmWeekly working sessions, issue logs, evidence reviews, and handover documentation keep progress inspectable.

What we are hired to fix

Eight ways we help large organizations run on systems instead of heroics.

We start with a problem your leadership can already see, show verified progress early, and expand only where the evidence supports it.

01

Analytics Enablement

KPI design, reporting governance, analytics roadmaps, dashboard standards, and team enablement.

02

Managed Analytics Support

Recurring reports, dashboard support, data validation, insight memos, and executive performance reviews.

03

Analytics Transformation

Modernize fragmented reports and manual workflows into trusted intelligence systems.

04

AI and Machine Learning

Agentic AI, RAG assistants, custom LLM deployment and fine-tuning, SLM training, predictive models, and MLOps.

05

Functional Automation

AI-powered workflow automation for finance, HR, compliance, operations, customer support, and reporting.

06

Document Intelligence

AI extraction that turns PDFs, forms, contracts, claims, and records into structured, validated information.

07

Cybersecurity

Detection, vulnerability management, hardening, penetration testing, incident response, and regulatory compliance, including automated evidence collection.

08

Corporate Training

Executive AI and analytics literacy, security awareness, and hands-on upskilling for data and security teams.

Africa-first sectors

Built for sectors where a bad report, missed approval, or weak control has real consequences.

TelecommunicationsCustomer intelligence, churn and recommendation models, network reporting, fraud visibility, cyber posture.
Energy and UtilitiesAsset data, project governance, document control, risk, and operational reporting.
GovernmentPerformance dashboards, service delivery analytics, records digitization, compliance workflows.
Financial ServicesFraud detection models, controls reporting, document workflows, identity security, executive analytics.
Healthcare and InsuranceClaims, eligibility, care operations, document ingestion, performance reporting.
Education and WorkforceProgram analytics, learner outcomes, workforce dashboards, automation, cyber readiness.

Leadership bench

Three principals with the judgment to advise and the operating depth to build.

The firm is deliberately multidisciplinary: analytics and AI for clearer decisions, cybersecurity for resilience, and PMP-certified project governance for high-stakes delivery.

Gilbert Igwe

Gilbert Igwe

Principal | Data Science, AI, and Analytics

Leads enterprise analytics strategy, production AI and ML systems, automation architecture, and executive measurement standards.

Uche Onyekpe

Uche Onyekpe

Principal | Cybersecurity and Cloud Security

Leads detection, cloud posture, identity hardening, MDR advisory, vulnerability management, and incident readiness.

Doris Akpovwa

Doris Akpovwa

Principal | Project Governance and Delivery | PMP

Leads program governance, delivery assurance, stakeholder alignment, and compliance across enterprise engagements, backed by 25+ years of energy-sector leadership.

Meet the Team

Delivery model

Every engagement starts small, shows verified progress early, and scales on evidence.

01

Diagnose

Assess data, workflow, reporting, security posture, and constraints.

02

Design

Define the target architecture, controls, team routines, and adoption path.

03

Build

Develop dashboards, AI and ML systems, document workflows, and security improvements.

04

Enable

Train teams, document the standard, and hand over ownership cleanly.

05

Operate

Support improvement cycles, performance reviews, and retained advisory.

First engagements

Three common starting points.

Scope, deliverables, and timeline are agreed during the diagnostic, sized to your environment, and then committed to. We would rather earn the second engagement than oversell the first.

Assess

Operating Diagnostic

Report, workflow, document, and security review with source inventory, issue map, and a prioritized 30-90 day action plan.

Prove

AI or ML Pilot

One scoped use case, such as a RAG assistant, document pipeline, or predictive model, built, evaluated, and measured against an agreed baseline.

Protect

Security Operations Review

Identity, cloud, endpoint, vulnerability, alerting, and incident-readiness review with prioritized control actions.

View All Engagement Options

Executive conversation

Bring us the report, workflow, document queue, or security exposure that keeps coming back to leadership.

We will help you size the problem, test what is feasible, and define a first engagement with clear evidence of progress.