📋 Transparent, Fixed-Fee Pricing

Structured Engagements.
Predictable Investment.

Every engagement is fixed-fee — no surprises, no scope creep. Choose the entry point that fits your AI maturity.

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Free

AI Maturity Diagnostic

Fixed

Fee — No Surprises

Service Tiers

Size Tiers

Advisory Services

Advisory Engagement Pricing

Prices scale with company size. Select your tier to see indicative fixed fees.

Service 1 · Entry Gate · Free

AI Readiness & Maturity Diagnostic

⏱ Delivery: 2–3 weeks

Free

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Most organisations rush into AI tools only to discover mid-pilot that their data is siloed or their team lacks verification skills. This free diagnostic acts as your entry guardrail: we evaluate your organisation across six readiness dimensions to identify your “Ceiling Dimension” — the weakest link that will cap your AI performance. By revealing these bottlenecks before you buy software or hire developers, you protect your budget, align leadership, and establish a risk-managed path toward AI maturity.

Activities: Pre-work audit, 90-minute alignment workshop, maturity scorecard mapping.

Delivers: AI Maturity Diagnostic Report (maturity scoring, Ceiling Dimension, priority improvement plan).

Service 2 · Core Advisory

AI Strategy, Prioritisation & Roadmapping

⏱ Delivery: 4–6 weeks

$2,000 – $5,000

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Deploying AI without guardrails exposes your business to data leaks and shadow AI liabilities, while building pilots without a prioritisation scorecard leads to wasted budget on low-value projects. This engagement resolves both: we structure your AI portfolio against the Four Quadrants of AI Value, delivering standard approval guidelines for staff, a defined governance structure, and three fully scoped use-case canvases with clear cost and ROI models.

Activities: Shadow AI audit, initiative prioritisation, risk profiling, board-ready ROI design, 90-day roadmap planning.

Delivers: Priority Matrix, Governance Framework, Strategic AI Initiative Canvases, 90-Day Roadmap.

Service 3 · Governance

AI Governance & Responsible Adoption

⏱ Delivery: 4–6 weeks

$3,000 – $5,000

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Most organisations are already operating in an ungoverned AI environment — staff sharing sensitive data with public AI tools, outputs used without verification, and no named owner accountable for what goes wrong. This engagement builds the governance infrastructure that makes AI sustainable: a working operating manual, a risk-tiered register of all active use cases, proportional oversight rules, and an adoption metrics system that measures real use rather than licence counts.

Activities: Governance diagnostic, operating model design, risk tiering of all AI use cases, adoption metrics framework, leadership communication planning.

Delivers: AI Governance Operating Manual, Risk Tiering Register (3-tier), Responsible AI Assessment, Adoption Metrics Dashboard, Leadership Communication Playbook.

Service 4 · Workforce Capability

AI Workforce Capability Assessment & Learning Design

⏱ Delivery: 3–5 weeks

$2,500 – $4,000

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Most organisations measure AI capability by counting training completions and licences issued — then wonder why adoption is weak. This engagement applies the DEN AI Skills Taxonomy to score every role cluster against observable capability behaviours, identify the gaps blocking current AI initiatives, and produce a learning pathway map that connects each role to specific training actions. The service ends with a structured training design brief your L&D team can act on immediately.

Activities: AI Literacy Baseline Survey (SA-1) across target roles, Role Capability Scoring (SA-3), gap analysis and priority mapping, learning pathway design.

Delivers: Literacy Baseline Report, Role Capability Scoring Matrix, Capability Gap Analysis Report (SA-6), Learning Pathway Map, Training Design Brief.

AI Solutions

AI Solutions Pricing

Standalone solutions delivered in discrete stages — each purchasable independently.

AI Knowledge Engine · AKE

AI Knowledge Engine (AKE)

⏱ 12–20 weeks · Phased delivery

Pricing

Custom Pricing

Scoped to knowledge base size, data complexity, and governance requirements.

5-Phase Delivery

Phase 1 — Discovery: Knowledge domain mapping, data source audit, RAG architecture design.

Phase 2 — Ingestion: Document pipeline, chunking strategy, embedding and vector store setup.

Phase 3 — RAG Build: Retrieval pipeline, prompt engineering, LLM integration, quality scoring.

Phase 4 — Interface: User interface, API layer, enterprise integration, access controls.

Phase 5 — Governance: Human-in-the-Loop workflow, monitoring dashboard, team training.

Workflow Solution · n8n / Make

AI Workflow Automation

⏱ 8–14 weeks · Two stages

Stage 3A can be purchased standalone. Stage 3B requires Stage 3A completion.

Stage 3ADesign & Specification

$1,500 – $2,000

⏱ 3–4 weeks

Process maps · API audit · n8n/Make specs · Integration blueprint

Stage 3BBuild & Deploy

$2,500 – $3,500

⏱ 5–10 weeks

Production pipeline · LLM nodes · Human-in-the-Loop gates · Error handling · Handover

Data Solution · AI-Ready Architecture

AI-Ready Data Architecture

⏱ 10–16 weeks · Two stages

Stage 4A assesses your current state. Stage 4B designs and implements the target architecture.

Stage 4AAssessment & Strategy

$2,000 – $3,000

⏱ 3–5 weeks

Data audit · Semantic model design · Architecture strategy · Tooling (Airbyte, dbt, BigQuery, MS Fabric)

Stage 4BArchitecture Build

$4,000 – $6,000

⏱ 7–11 weeks

Governed pipelines · Semantic layer · Power BI / Looker Studio · Handover docs

How We Quote

Quoting Methodology

Every price is determined by three factors — assessed during the free diagnostic.

Company Size & AI Maturity

Your position on the AI Capability Maturity Model determines scope, support level, and depth. Smaller organisations typically need more foundational work; enterprises need broader stakeholder alignment.

Engagement Scope & Complexity

Number of processes, data sources, systems, and stakeholder groups. Workflow automations are scoped per pipeline; architecture engagements by data source count and integration complexity.

Governance & Risk Requirements

Regulated industries (healthcare, finance, legal) require additional governance design, Human-in-the-Loop controls, and documentation — all reflected in final scoping.

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Structured Engagements.
Predictable Investment.