AI Consulting & Implementation Services
From initial assessment to production deployment and beyond — we provide the strategy, expertise, and hands-on delivery to make AI work in your business.
AI Readiness & Audit
Understand where AI will create the most value — before you invest.
What we deliver
- • AI readiness assessment across your operations
- • Prioritised opportunity mapping with ROI modelling
- • Risk analysis and feasibility evaluation
- • Clear implementation roadmap with milestones
- • Executive-ready summary and go/no-go recommendation
Who it's for
- • Teams exploring AI for the first time
- • Leaders who need business-case clarity before committing budget
- • Organisations that want a structured, production-first approach
How the audit works
A structured, fixed-scope engagement focused on your single highest-value AI opportunity — not a broad organisational survey.
- 1. Intake review — We review your submission to understand the business context, identify candidate workflows, and assess fit.
- 2. Scoping call — A 30-minute conversation to confirm scope, understand the problem in depth, and agree on the approach.
- 3. Workflow analysis — We map the candidate workflow in detail: steps, systems, data flows, volumes, bottlenecks, and costs.
- 4. Feasibility assessment — We assess data availability, AI technique fit, integration complexity, and risk for each intervention point.
- 5. ROI modelling — We build a realistic ROI model with conservative, realistic, and optimistic scenarios and transparent assumptions.
- 6. Report & readout — We deliver the full audit report and walk you through findings, recommendations, and next steps in a live session.
What you receive
AI Readiness Report
10–15 page document covering opportunity assessment, feasibility, and recommendations
ROI Model
Spreadsheet with three scenarios, transparent assumptions, and editable inputs
Risk Register
Categorised risks (technical, data, organisational) with impact ratings and mitigations
Implementation Roadmap
Phased plan with milestones, dependencies, resource needs, and cost estimates
Executive Summary
One-page summary with clear go/no-go recommendation, ready to share with leadership
Live Readout Session
45–60 minute walkthrough of findings, Q&A, and agreed next steps
Strategy & Opportunity Mapping
Turn AI ambition into a practical, prioritised plan.
Workflow Analysis
We map your key workflows in detail — steps, actors, systems, data flows, volumes, and costs — to identify where AI intervention delivers the highest impact.
Data & Integration Review
For each opportunity, we assess data availability and quality, system dependencies, and integration requirements so the roadmap is grounded in reality, not assumptions.
Adoption Roadmap
A phased plan starting with your highest-ROI, lowest-risk opportunity. Each phase has clear milestones, dependencies, resource requirements, and cost estimates.
How it works
A broader engagement covering multiple workflows and opportunities across your operations. Typically follows an audit, or stands alone for organisations that already know they want AI but need help prioritising.
- 1. Kickoff & stakeholder interviews — We align on objectives, then interview 3–6 key people to understand workflows, pain points, and existing systems across your business.
- 2. Current state mapping — We map each candidate workflow with quantified metrics: volume, frequency, time per instance, error rates, and cost.
- 3. Opportunity scoring — Each AI opportunity is scored on potential impact, technical feasibility, and risk to produce a clear priority ranking.
- 4. Data readiness assessment — For the top opportunities, we assess data availability, quality, format, and any regulatory constraints.
- 5. Prioritised roadmap — We deliver a phased adoption plan with ROI comparisons, starting with the opportunity that delivers value fastest.
What you receive
Workflow Analysis Report
Detailed maps of candidate workflows with quantified metrics and annotated intervention points
Opportunity Matrix
Scored comparison of all opportunities ranked by impact, feasibility, and risk
Data Readiness Assessment
Per-opportunity assessment of data availability, quality, gaps, and remediation effort
ROI Comparison
Side-by-side ROI analysis for top opportunities to support prioritisation decisions
Adoption Roadmap
Phased plan with milestones, dependencies, resource needs, and estimated timeline
Strategy Presentation
60–90 minute readout with leadership to align on priorities and agree on next steps
Implementation & Delivery
Production-grade AI systems, built to last.
What we build
- • End-to-end AI workflow implementation
- • System integration with your existing tools and data
- • Monitoring, logging, and quality assurance
- • Safety controls and graceful failure handling
- • Documentation and team handover
How we deliver
- • Incremental delivery with working systems at each stage
- • Weekly sprint demos and transparent progress reporting
- • Production-first mindset — no throwaway prototypes
- • Full handover with runbooks and support options
Delivery process
We build in short, focused sprints — each delivering a working increment. You see progress weekly and can steer the build based on real results, not slide decks.
- 1. Technical design — System architecture, data flow, integration points, deployment target, and monitoring approach — documented and reviewed before we write a line of code.
- 2. Core pipeline — Data ingestion and processing pipeline built end-to-end. Proves the integration works with real data flowing through the system.
- 3. AI logic — The AI component implemented, tested against sample data, and iterated until it meets accuracy benchmarks.
- 4. Production hardening — Error handling, retry logic, fallback mechanisms, monitoring, logging, and alerting added to ensure the system degrades gracefully, not catastrophically.
- 5. Testing & UAT — Full end-to-end testing with real data, edge cases, and failure scenarios. Client review and sign-off in staging before go-live.
- 6. Deployment & handover — Production deployment with close monitoring for the first 72 hours. Full documentation, runbook, and handover session with your team.
What you receive
Working System
Production-deployed AI system processing real data with error handling and monitoring
Technical Design Document
Architecture diagram, data flow, technology choices, and security considerations
Monitoring Dashboard
Key metrics, alert thresholds, and performance visibility for your team
Operational Runbook
Step-by-step guide for common operations: restart, troubleshoot, scale, update
System Documentation
Architecture overview, configuration guide, and API documentation
Handover Session
Recorded knowledge transfer so your team can operate and maintain the system independently
Ongoing Advisory & Support
A long-term partner for your AI journey.
Performance Monitoring
Regular review of system accuracy, throughput, error rates, and cost — so issues are caught early and performance stays on target.
Optimisation & Expansion
Identify opportunities to improve existing systems and expand AI into adjacent workflows — assessed against the same ROI framework used in the audit.
Governance & Best Practice
Practical AI governance frameworks, regular risk register reviews, and team capability building — tailored to your scale and industry.
What's included
A monthly retainer that gives you continuous access to expertise, proactive monitoring, and regular strategic reviews.
Monthly Performance Report
System metrics with trends, issues identified, and actionable recommendations
Quarterly Strategy Review
Performance summary, market developments, expansion opportunities, and updated roadmap
Optimisation Proposals
Specific improvement recommendations with estimated effort and expected impact
Incident Response
Root cause analysis, rapid fix, and post-mortem for any significant issues
Let's find the right starting point for your business.
Every engagement begins with understanding your needs. Book a consultation and we'll help you identify where to start.