Service
Enterprise AI Embedding
Take AI from strategy deck to working systems inside your business, and build the capacity to scale it.
Value realised: volumes processed by AI in live workflows, team capacity built for higher-value work, and adoption across the business.
- Duration
- 90-day embed, then scale
AI strategy connected directly to delivery. We identify where AI can handle real volumes of work, set the guardrails, then embed a small forward-deployed team inside your operation to put AI into live workflows, building your own team's capability as we go.
You need this if…
- Several AI pilots, nothing running in production
- Unclear ownership of AI between IT, Data and the business
- Concerns about accuracy, auditability or data security blocking adoption
- Growing volumes that the team can't absorb without more people
Our method
How we deliver it
Prioritise
Find the high-volume, document-heavy work where AI adds most value: contracts, invoices, receipts, controls and compliance.
Guardrail
Agree architecture, security, data protection and governance with IT, Risk and Legal.
Embed
Deploy a forward-deployed pod into the business team to build, integrate and iterate on live data, with your people in the pod.
Industrialise
Stand up the AI Centre of Excellence, operating model and skills to scale what works.
Sequenced with SECAR. AI is deployed at the Automate stage, on processes that are simplified and standardised, so it reads consistent inputs.
About SECARDeliverables
What you get
- Enterprise AI strategy and use-case roadmap
- AI governance, risk and security framework
- At least one AI use case live in a production workflow
- AI Centre of Excellence design, operating model and skills plan