AI Consulting
An AI strategy you can actually execute
Most AI strategy work ends as a document. Ours ends as a sequenced, costed roadmap with owners, guardrails and a first workflow already running in production. We advise as operators, because we build what we recommend.
90 days
From audit to first live workflow
ROI-ranked
Opportunity backlog
Governed
Adoption framework
System map
LiveAI Consulting
- 01AI readiness assessment
- 02Opportunity identification
- 03Commercial business case
- 04Transformation roadmap
- 05Governance framework
- 06Team enablement and adoption
What is quietly costing you growth
The patterns we see before every ai consulting engagement, and the revenue they hold back.
Activity without direction
Teams experiment with tools in isolation. Spend rises, nothing integrates and no measurable outcome is ever produced.
Pilots that never scale
Promising proofs of concept stall because no one owns integration, data quality or the production budget.
Unmanaged risk exposure
Staff paste confidential data into consumer tools. There is no policy, no logging and no defensible position if challenged.
Resistance across the organisation
Without honest framing on roles and job security, adoption is passively refused regardless of the technology.
No way to prioritise
Every function has ideas. Nobody can rank them by value, feasibility and dependency, so the loudest voice wins.
Boards asking for evidence
Leadership needs a defensible investment case, not vendor enthusiasm and a list of tools.
One connected system instead of a stack of deliverables
We assess where you actually are, identify where AI creates measurable commercial value, and hand you a sequenced roadmap with governance and enablement built in, then help you execute it.
Evidence-based assessment
Data maturity, workflow readiness, tooling, skills and risk posture scored against a defined benchmark.
Value-ranked roadmap
Every opportunity sized for impact, cost, feasibility and dependency, then sequenced into quarterly waves.
Governance and enablement
Usage policy, approval gates, model standards and practical training so adoption is safe and genuine.
Workflow
- 1
Readiness assessment
- 2
Opportunity mapping
- 3
Business case and roadmap
- 4
Governance framework
- 5
Enablement and first deployment
Everything inside the engagement
Scoped as a system with clear owners, review gates and outputs you keep.
AI readiness assessment
Structured evaluation of data, workflows, systems, skills and governance with a scored maturity baseline.
Opportunity identification
Function-by-function analysis of where AI creates measurable value, ranked by return and feasibility.
Transformation roadmap
A costed, sequenced twelve-month plan with owners, dependencies, milestones and success metrics.
Business case
Board-ready financial modelling covering investment, savings, revenue impact and payback period.
Process re-engineering
Redesign of core workflows so automation improves the process rather than accelerating an inefficient one.
AI governance framework
Usage policy, data classification, approval gates, audit requirements and model standards.
Technology selection
Vendor-neutral evaluation of models, platforms and tools against your requirements, budget and risk posture.
Team enablement
Role-specific training, prompt libraries and internal champion programmes that drive real adoption.
Executive briefings
Leadership and board sessions that build shared literacy and realistic expectations.
Fractional AI leadership
Ongoing advisory support acting as your interim AI lead through the transformation.
The AiGnifier Growth Operating System™
Our process from discovery to scale
Eight disciplined stages. Every engagement runs the same operating method, so progress is predictable and auditable.
Discover
Audit the current state: market, competitors, funnel, data and internal workflows. Evidence before opinion.
Define
Fix the strategy, positioning, audience, success metrics and the commercial case for every workstream.
Design
Architect the system: narrative, experience, creative and the AI workflows that will run it day to day.
Deploy
Build and launch with governance, QA and human review gates. Nothing ships without an owner and a metric.
Drive
Activate demand. Campaigns, agents and distribution run in production against agreed pipeline targets.
Measure
One attribution layer for traffic, pipeline, conversion, cost and hours saved. No vanity metrics.
Optimize
Continuous improvement sprints informed by live data and AI analysis of what is actually converting.
Scale
Compound what works, more markets, more channels, more automation, without proportional headcount.
Outcomes the board can measure
We report in pipeline, cost and hours reclaimed, the language your leadership team already uses.
0
Days to first live workflow
From kick-off to production, not proof of concept.
0.0x
Modelled programme ROI
Twelve-month view across the ranked backlog.
0%
Tool adoption rate
Measured active usage after enablement.
0%
Governed AI usage
Policy, logging and approval coverage.
A clear, costed answer to what AI should do for this business
Investment concentrated on the highest-return workflows first
Defensible governance and a documented risk position
Genuine adoption instead of licences nobody uses
Internal capability that reduces long-term dependency on consultants
A board narrative supported by evidence and live results
Technology stack
The tools running behind this service
Governed, interoperable and selected for reliability, not novelty.
OpenAI
Enterprise model evaluation and reasoning workloads.
Claude
Long-context analysis and policy-sensitive drafting.
Gemini
Multimodal analysis and workspace integration.
n8n
Reference orchestration architecture for pilots.
Supabase
Secure data foundation and audit logging.
Pinecone
Knowledge retrieval architecture design.
Looker Studio
Programme reporting and value tracking.
Lovable
Rapid internal tooling for pilot deployments.
Professional services firm, 340 staff
Fourteen unmanaged AI tool subscriptions across departments, confidential client material being pasted into consumer applications, and a board demanding a coherent position before the next audit cycle.
Before
- 14 ungoverned tool subscriptions
- No AI usage policy or logging
- Zero production workflows
- No measurable value from spend
After
- 4 approved, governed platforms
- Full policy, logging and approval gates
- 6 production workflows live
- Tracked savings against a baseline
0.0x
Programme ROI
0%
Lower tooling spend
0
Hours saved annually
0%
Staff adoption rate
“We had spent eighteen months being enthusiastic about AI. In one quarter we finally became competent at it.”
Questions
AI Consulting answered
Everything decision-makers ask us before committing to an engagement.
From Brand to Benchmark
Ready to Build an Intelligent Growth System?
Stop buying disconnected services. Start building a scalable AI-powered business with one team accountable for brand, systems and revenue.
30-minute working session. You leave with a growth system map, whether we work together or not.