Outcomes you get
- A prioritised use-case portfolio with effort, value and risk scored
- A costed roadmap covering data, platform and capability gaps
- Governance model that satisfies audit, legal and security stakeholders
Solution
AI Consulting
Assess readiness, prioritise use cases and build a defensible AI roadmap with governance built in.
Conceptual visualization only
The problem we solve
Leadership is under pressure to adopt AI but has no evidence-based view of where it pays back or what it risks.
What we deliver
- AI readiness assessment across data, platform, skills and governance
- Process discovery notes and automation candidates
- Prioritised roadmap with sequencing and dependencies
- Cost-benefit model and vendor comparison
- Responsible-AI policy and risk register
A good fit if
- Organisations starting their first AI programme
- Teams with stalled pilots that never reached production
- Regulated environments needing governance before build
How This AI Agent Works
The published process for this agent: what triggers it, what it validates, which approved tools it calls, where a human approves and what it delivers.
Evidence-based research workflow
From a research question to a cited, human-reviewed report.
Workflow preview
Saved with the run so the recorded execution trail shows what was asked. Demonstration runs use sample data. They do not touch your systems.
Public visitors can preview the structure and inspect every node. Labelled demonstrations and live runs require a signed-in account with configured providers.
72%
Workflow summary as a text list
- 1. Research question: Trigger. A user submits the question, scope and required depth.
- 2. Clarify scope: AI agent. Restate the question, list assumptions and set inclusion criteria.
- 3. Search approved sources: Approved tool. Query only the source list the workspace permits.
- 4. Retrieve evidence: Data source. Collect passages, publication dates and source identifiers.
- 5. Compare sources: AI agent. Group agreements, contradictions and gaps.
- 6. Validate citations: Validation. Verify every claim maps to a retrievable citation.
- 7. Human review: Human approval. A reviewer confirms the evidence before release. Human approval required.
- 8. Cited research report: Output. Findings, comparison table and full citation list.
Approval gate: Human review. Deliverable: Report.
Workflow audit for this page
Structure only. Run a demonstration to include events.
| Template ID | Nodes | Approval node | Output type | Preview | Demo | Live | Mobile test |
|---|---|---|---|---|---|---|---|
| research-agent | 8 | Yes. Policy: always | Report | Available | Available (signed in) | Available via Studio · requires ai_provider | Verified at 390px |
Demonstration runs are stored and replayed from recorded events. Live runs execute server-side in the Studio and only start when the listed integrations report healthy.
Capabilities
Delivered as consulting, build, automation or managed service.
AI readiness assessment
AI strategy and roadmap
Process discovery
Use-case prioritization
Data strategy
Technology selection
Cloud architecture
Responsible AI governance
AI risk assessment
Cost-benefit analysis
Vendor selection
Training and organizational adoption
How an engagement runs
Phase 1 · 1–2 weeks
Discover
Stakeholder interviews, systems and data review.
Phase 2 · 2–3 weeks
Design
Use-case scoring, architecture options, cost modelling.
Phase 3 · Optional
Build
Proof of concept on the highest-value use case.
Phase 4 · Ongoing
Deploy & improve
Roadmap reviews, governance and training support.
Common questions
Is this vendor-neutral?
Yes. We recommend the platform that fits your constraints, including keeping work in-house where that is cheaper.
Can consulting lead into delivery?
It can, but the assessment stands alone and is usable by any implementation partner.
Ready to scope your AI initiative?
Share your objective and constraints. A specialist reviews every request before any recommendation is issued.