Solutions

Six ways to put AI to work

Every Fetch engagement is outcome-driven. We don't deliver strategy decks — we deliver deployed AI workflows, trained teams, and measurable results.

Workflow Redesign

Map and redesign your operations before you automate the wrong things.

The Problem

Most AI failures happen because businesses automate broken workflows. The result is faster bad processes, not better operations.

What We Do

We conduct a structured workflow mapping exercise across your target business units, identify bottlenecks and AI opportunities, and redesign the workflows for AI integration before any tools are deployed.

Who It's For

Businesses that want to understand their operations deeply before investing in AI tooling.

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Outcomes

Clear workflow documentation
Bottleneck and inefficiency identification
AI-ready process designs
Prioritised implementation roadmap

Deliverables

Current-state workflow maps
Future-state process designs
AI opportunity assessment
Implementation priority matrix

AI Implementation Support

Deploy AI tools that integrate with your systems and that your team will actually use.

2–4 week stabilisation

The Problem

Buying AI software is easy. Getting it to work inside your specific operations — with your data, your systems, and your team — is where most implementations fail.

What We Do

We take responsibility for the full implementation: tool selection, configuration, integration with existing systems, and go-live support. We don't hand over a manual and leave.

Who It's For

Businesses that have identified AI opportunities but need expert support to deploy and integrate tools properly.

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Outcomes

AI tools deployed and integrated
Workflows operational within agreed timeline
Team onboarded and using the tools
Ongoing support during stabilisation

Deliverables

Tool selection recommendation
Configuration and integration
Go-live support
Stabilisation period (2–4 weeks)
Handover documentation

Team Upskilling & Enablement

Build AI capability that stays in your organisation long after we leave.

3–6 sessions · 4 weeks support

The Problem

AI adoption fails when teams don't understand or trust the tools. Without structured upskilling, adoption stalls regardless of how good the technology is.

What We Do

We design and deliver a structured AI upskilling programme tailored to your team's roles and the specific tools being deployed. Training is practical, not theoretical — your team learns by doing.

Who It's For

Businesses deploying AI tools who need their teams to adopt and use them confidently.

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Outcomes

Team confident using AI tools
Adoption measured team by team, not assumed
Internal champions identified and developed
Sustainable AI capability built

Deliverables

Role-specific training curriculum
Practical training sessions (3–6 sessions)
Team AI readiness assessment
Post-training support (4 weeks)
Internal champion programme

Department-Specific AI Rollout

Targeted AI deployment for one business unit — prove value before scaling.

The Problem

Organisation-wide AI transformation is complex and expensive. Many businesses need to prove value in one department before committing to a broader rollout.

What We Do

We focus entirely on one department or business unit — operations, customer service, finance, HR — and deliver a complete AI transformation for that unit. The result becomes the proof of concept for the rest of the organisation.

Who It's For

Mid-market and enterprise businesses that want to pilot AI in one area before scaling.

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Outcomes

One department fully AI-transformed
Clear ROI demonstrated
Replicable model for other departments
Internal playbook for future rollouts

Deliverables

Department workflow assessment
AI tool deployment
Team training
ROI measurement
Replication playbook

Managed AI Transformation

An embedded partner for sustained, organisation-wide AI transformation.

6–18 months

The Problem

Large-scale AI adoption requires sustained effort over months. Most businesses don't have the internal capacity to drive this while running their operations.

What We Do

We act as your embedded AI transformation partner — providing ongoing pod support, managing the transformation programme, and ensuring adoption and results are sustained over time.

Who It's For

Enterprise businesses committed to organisation-wide AI transformation over 6–18 months.

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Outcomes

Organisation-wide AI adoption
Sustained transformation programme
Internal AI capability built
Measurable ROI across all departments

Deliverables

Transformation programme management
Ongoing pod support
Quarterly progress reviews
Organisation-wide adoption tracking
Executive reporting

Custom AI Product Build

When the redesigned workflow needs real software, the same team builds it.

The Problem

Some workflows cannot be fixed by configuring an off-the-shelf tool: they need an agent pipeline, an integration layer, a data platform or an operations system that does not exist yet.

What We Do

We scope and build production software — applied AI and agentic systems, enterprise operations platforms, health and IoT data platforms, regulated fintech — as a fixed-scope build or an ongoing retainer. Every build starts with a clickable mockup and a PRD you sign off before any commitment.

Who It's For

Businesses and institutions whose AI opportunity is a product, not a plug-in — from a Sprint that outgrew its tools to a platform programme.

See Engineering Capabilities

Outcomes

A product you approved as a mockup before it was built
Production software with docs, runbooks and tests from day one
Senior engineers accountable at every gate
A repository your team — or ours on retainer — can operate

Deliverables

Clickable mockup + PRD (V1 → sign-off)
Fixed-scope proposal traced to the PRD
Gated build with two-track review
Handover pack: architecture, runbooks, environments, tests
Optional retainer or team augmentation