Packaged AI for SMEs · London and South Bucks

Questions SMEs ask

60 minutes · no charge · no obligation

Open a question to see the matching fixed-scope offer.

How can you use AI in your business?

Map processes, data flows, and tooling first — then prioritise 3–5 use cases with ROI estimates, without locking to a vendor.

AI Opportunity Audit

1–2 weeks · fixed fee

A fixed-fee assessment delivered as an executive report: prioritised use cases, ROI estimates, and clear next steps. No vendor lock-in recommended at this stage.

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How can you do AI governance?

Treat governance as a phased plan: classify data, set residency rules, decide build vs buy, and align to UK GDPR and ICO expectations — then keep someone accountable without hiring a full-time Chief AI Officer.

AI & Data Governance Roadmap

12-month phased plan

Tool selection criteria, data classification (public / internal / confidential / personal / special category), residency requirements, and a build-vs-buy decision framework.

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Fractional AI Advisor

Retainer · hours per month

Part-time strategic AI leadership: vendor management, roadmap updates, and staff upskilling — without the cost of a full-time CAIO.

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How can you use private data in AI?

Match deployment to sensitivity: keep confidential data on-prem or in a private RAG, route low-risk prompts to cloud APIs, and audit every tool’s data flows before you scale.

On-Premise LLM Deployment

Open-weight models on client-owned hardware (Mac mini, mini-PC, or rack server). Zero data leaves the building — suited to legal, accountancy, healthcare, and confidential workloads.

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Private RAG Knowledge Base

Connect a local or private-cloud LLM to your documents, contracts, or CRM so staff get cited answers without exposing data to third-party training pipelines.

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Hybrid Cloud / Local Architecture

A routing layer that sends sensitive prompts to local inference and low-risk prompts to cost-efficient cloud APIs, based on data classification tier.

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AI Data Residency & Compliance Audit

Review every AI tool in use, map data flows (input, inference, storage, logging, sub-processors), and produce a DPA checklist plus technical control plan.

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How can you run AI on your own hardware?

Size the box to the model — Apple Silicon unified-memory Mac minis for many 7B–70B workloads, GPU mini-PCs when you need more headroom — then install and tune the model for local inference.

Edge AI Hardware Package

Source and configure right-sized local inference hardware, matched to model size and budget rather than a single brand.

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On-Premise LLM Deployment

Installation and tuning on the hardware you own, with performance and privacy constraints agreed up front.

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How can you automate work with AI agents?

Start with one high-ROI workflow, pilot for 30–60 days, then scale to coordinated agents — using tools that fit the stack you already have.

Business Process Automation Build

Fixed-scope automation of invoicing, quoting, scheduling, or document processing — orchestration chosen for your stack, not a proprietary platform mandate.

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AI Agent Orchestration Pilot

30–60 day monitored pilot

A single-use-case agent (email triage, lead qualification, meeting-notes-to-actions) built and monitored before scaling.

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Multi-Agent Workflow Platform

Coordinated agents for end-to-end flows (enquiry → quote → invoice → follow-up), delivered as a fixed multi-week build.

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Document & Data Extraction Automation

Turn invoices, contracts, or forms into structured data — a proven first use case for SMEs under £5m turnover.

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How can you add AI to tools you already use?

Layer AI onto CRM, ERP, Slack, email, or accounting software — or give staff a private internal assistant — without forcing a platform migration.

CRM / ERP AI Integration

Chat, summarisation, or forecasting inside the systems you already run — fixed integration scope.

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Custom Internal Chat Assistant

Private, branded staff chat backed by cloud or local models, grounded in internal knowledge for HR, IT, or sales.

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API & Systems Integration Sprint

Short fixed-price sprints wiring AI into Slack, email, or accounting tools.

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How can you keep AI working after go-live?

Plan for adoption: a short hypercare window after launch, staff literacy workshops, then a light retainer for monitoring and updates.

Hypercare & Post-Launch Support

4–12 weeks after go-live

Defined support so adoption sticks and issues are resolved before retainer begins.

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Staff AI Literacy Training

Hands-on workshops on safe use, prompt technique, and governance policy — addressing the skills gap most SMEs cite.

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AI Management Retainer

Monthly · typically £800–£3,000/month market band

Performance monitoring, prompt/workflow updates, feature rollout, and reporting.

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What we offer

Five product lines. Every engagement is fixed-scope, fixed-price, and vendor-agnostic.

Products and services

Fixed-scope builds using whichever cloud, model, or framework fits your constraints. Pilots before scale.

AI Readiness & Strategy

AI Opportunity Audit

1–2 weeks · fixed fee

Maps processes, data flows, and tooling to identify 3–5 prioritised AI use cases with ROI estimates. Executive report — no vendor lock-in at this stage.

Enquire

AI & Data Governance Roadmap

12-month phased plan

Tool selection, data classification, residency requirements, and build-vs-buy — aligned to UK GDPR and ICO expectations.

Enquire

Fractional AI Advisor

Retainer · hours per month

Ongoing part-time strategic AI leadership: vendor management, roadmap updates, and staff upskilling.

Enquire

Local & Private AI Infrastructure

On-Premise LLM Deployment

Open-weight models on client-owned hardware. Zero data leaves the building — ideal for legal, accountancy, and healthcare.

Enquire

Edge AI Hardware Package

Right-sized local inference hardware (Apple Silicon Mac mini or GPU mini-PCs), matched to model size and budget.

Enquire

Private RAG Knowledge Base

Local or private-cloud LLM grounded in your documents, contracts, or CRM — cited answers without third-party training exposure.

Enquire

Hybrid Cloud / Local Architecture

Route sensitive prompts to local inference and low-risk prompts to cloud APIs, by data classification tier.

Enquire

AI Data Residency & Compliance Audit

Map every AI tool’s data flows and produce a DPA checklist plus technical control plan.

Enquire

Automation & Agentic Workflows

Business Process Automation Build

Fixed-scope automation of invoicing, quoting, scheduling, or document processing on tools that fit your stack.

Enquire

AI Agent Orchestration Pilot

30–60 day monitored pilot

Single-use-case agent (email triage, lead qualification, meeting-notes-to-actions) before scaling.

Enquire

Multi-Agent Workflow Platform

Coordinated agents for end-to-end flows — fixed multi-week build with defined integration scope.

Enquire

Document & Data Extraction Automation

Invoices, contracts, or forms into structured data — high-ROI first use case for SMEs under £5m turnover.

Enquire

Custom Integration & Tooling

CRM / ERP AI Integration

Chat, summarisation, or forecasting inside systems you already run — without replacing them.

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Custom Internal Chat Assistant

Private branded staff chat on cloud or local models, grounded in internal knowledge.

Enquire

API & Systems Integration Sprint

Short fixed-price sprints wiring AI into Slack, email, or accounting software.

Enquire

Managed Support & Enablement

AI Management Retainer

Monthly · typically £800–£3,000/month market band

Monitoring, prompt/workflow updates, feature rollout, and reporting.

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Staff AI Literacy Training

Hands-on workshops on safe use, prompt technique, and governance policy.

Enquire

Hypercare & Post-Launch Support

4–12 weeks after go-live

Defined support window so adoption sticks before retainer begins.

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Why this approach

We package AI work for 5–50 person businesses in London and South Bucks — clear outcomes, not open-ended consulting.

Contact

Tell us what you need help with, how private your data needs to stay, and when you’d like to get started.

Book a free 60‑minute discovery call — no charge, no obligation — or email hello@metaspan.com to start with an Opportunity Audit or a private-data conversation.