A2 — AI Apps & Integration
AI Strategy & Consultation
A practical AI roadmap: where AI fits your business, which vendors to use and what return to expect.
Overview
Many companies feel pressure to "do AI" without a clear idea of where it will pay off. The result is expensive pilots that never reach production.
We help you find the use cases worth pursuing, compare vendors honestly, estimate costs and returns, and plan a small first project you can measure.
What we do
- 01
Review your processes and data for AI opportunities
- 02
Shortlist use cases by value and risk
- 03
Compare vendors and build-or-buy options
- 04
Estimate costs and expected returns
- 05
Plan a small, measurable first project
How we work
- Step 1
Discover
We agree the use case, data sources and what a good answer looks like.
- Step 2
Build
We integrate the model, your data and your product in short iterations.
- Step 3
Evaluate
QA tests accuracy, safety and edge cases against an evaluation set before launch.
- Step 4
Monitor
We track quality and cost in production and keep improving.
Who it's for
- Companies adopting AI for the first time
- Leadership teams comparing AI vendors
- Teams with stalled AI pilots
What you get
- A ranked list of AI use cases
- A vendor and build-or-buy comparison
- Cost and return estimates
- A plan for a first measurable project
Questions
Do we have to build with you afterwards?+
No. The roadmap is yours to use with any team, though we're happy to build it with you.
How long does a strategy engagement take?+
It's usually short and fixed in scope. We'll quote it after a free scoping call.
How quickly can you start?+
Most engagements start within 5–7 business days of agreeing scope, and urgent work can start within 48 hours.
Tools
- OpenAI
- Claude
- Gemini
- AWS Bedrock
- n8n
Related
AI Integration
LLM features shipped with eval tests built in
SolutionAI Workflow Automation
AI agents that automate ops, with guardrails
ServiceAll AI Apps & Integration services
Chatbots, LLM integrations, and AI agents tested for accuracy before they meet your users.
More in AI Apps & Integration
Related service case studies
Enterprise AI Chatbot Case Study
Enterprise conversational AI platform for virtual assistants.
LLM Integration Case Study: AI Marketing App
AI marketing workspace for planning and creating content.
AI Analytics for CRM Case Study
AI growth platform combining CRM, analytics, email campaigns, and tasks.