Ugo ChukwuAI & Financial Systems

Services

Ways to work with me

Every engagement starts the same way: establish what the problem costs, then decide whether building anything is justified. Most work begins with a diagnostic and moves into a build once the value case holds.

01

Finance & AI Operations Diagnostic

For companies that know something is broken but need clarity before committing to a build.

Typical investment$3,500seven business days
Discuss a Diagnostic

What you get

  1. 01Current workflow mapped end-to-end
  2. 02Operational failure points identified
  3. 03Financial impact quantified
  4. 04Systems and data reviewed
  5. 05A clear line between what should and should not be automated
  6. 06Target architecture and prioritised implementation plan
  7. 07Commercial value case you can take to a board
02

Production Systems Sprint

A clearly defined operational problem becomes a working system — architecture, implementation, integrations, testing, deployment, documentation and handover.

Typical investment$12K–$25Kscoped per system
Discuss a System

Systems I typically build

Payment reconciliationRevenue recoveryRevenue leakage detectionFinance reportingCash visibilityRisk workflowsAI-enabled operational systems
03 · most common

Fractional AI & Finance Automation Lead

For companies that need ongoing technical ownership rather than another isolated automation.

Typical engagement$7,500/month3-month minimum
Discuss Fractional Leadership

What I own

Automation roadmapAI systems architectureFinance systems architectureIntegration strategyTechnical implementationReliability and controlsModel evaluationVendor coordinationMeasurement and ROI reporting
04

Optimization & Reliability

For existing automation or AI infrastructure that needs to become dependable.

  • Monitoring
  • Failure handling
  • Integration maintenance
  • Performance
  • Cost optimization
  • Additional controls
$4,000/monthDiscuss Reliability →
05

Domain Model Fine-Tuning & Evaluation

Adaptation only after prompting, retrieval and tool use have been ruled out on the evidence.

  • Dataset preparation
  • Baseline
  • SFT · LoRA / QLoRA
  • Embedding & reranker tuning
  • Failure analysis
  • Model card
  • Monitoring & rollback
$12K–$25KDiscuss an Evaluation →

How an engagement starts

01

Discovery call

30 minutes on the workflow, what it costs and whether I'm the right person for it.

02

Diagnostic

Seven days to quantify the problem and design the target architecture.

03

Build decision

A value case with numbers. Sometimes the answer is that building isn't worth it.

04

Sprint or retainer

Build the system, or take ongoing ownership of the roadmap and architecture.

Book a Discovery Call

Discovery questionnaires

Or start in writing

These cover the same ground as the discovery call, in more detail and in your own time. One question per screen, sections that do not apply are skipped, and everything saves as you go — so you can stop and come back to it. Answers come straight to me.

01

AI Engineering Discovery

Discovery for LLM, RAG, agentic and production AI engagements: current workflow, the AI / non-AI boundary, evaluation, permissions and reliability.

~25 min · 86 questions →

02

Business Workflow Automation Discovery

Map one business process end to end — trigger, steps, systems, exceptions, approvals and cost — and find the parts worth automating.

~20 min · 82 questions →

03

Finance Automation Discovery

Map a finance process end to end — source of truth, matching logic, approvals, segregation of duties, exceptions and audit trail — before any of it is automated.

~30 min · 136 questions →