AI Automation Agency
A single, accountable team for the whole AI automation engagement, audit, build, integration and ongoing support, instead of coordinating freelancers or point-solution vendors.
01The Challenge
Automating a single process usually means three separate vendors, and none of them own the result.
Strategy without a build
Consultants hand over a roadmap, then someone else has to figure out how to build it.
Freelancers without continuity
A single contractor builds the automation, then disappears when it needs support.
No single point of accountability
When something breaks, three vendors point at each other instead of fixing it.
Scope that never closes
Point-solution vendors solve one workflow and leave the rest of the process untouched.
02The Infomist Approach
One team, audit through support.
Infomist runs the process audit, the build, the integrations and the ongoing support as one engagement, so there's a single team accountable for the system that ends up running in production.
Audit
Map the manual process and identify the automations with the clearest ROI.
Design
Scope the workflow logic, the AI decision points and the integrations needed.
Build & integrate
Engineer the automation and connect it to your existing CRM, ERP and tools.
Support
Monitor the system in production and refine it as the process evolves.
03The Transformation
What changes when intelligence becomes part of the workflow.
Before
- Separate consultant, builder and support contractor
- No one accountable end-to-end
- Handoffs lose context
- Strategy decks that never ship
Infomist Intelligence Layer
- Process audit
- Build team
- Integration layer
- Ongoing support
After
- One team, one contract
- Accountable from audit to production
- No vendor handoffs
- A system that's actually maintained
04How We Build It
Engineered from the ground up.
- 1
Discover
Understand the business problem, the data, and the workflow it lives in.
- 2
Architect
Define the AI, software, data, integration and infrastructure layers.
- 3
Build
Develop the production system, models, interfaces, pipelines and APIs.
- 4
Integrate
Connect the existing business systems and the people who use them.
- 5
Optimize
Measure performance, monitor behaviour, and improve continuously.
05What We Engineer
Capabilities.
06System Architecture
How the system runs.
Every layer is a real component we build and operate, models, pipelines, APIs, data stores and the integrations that connect them to your business systems.
07Where It Creates Value
Where it creates value.
08Business Impact
Designed for measurable impact.
Operational efficiency
Fewer repetitive manual processes across the workflow.
Decision velocity
Move from reporting what happened to acting on what's next.
Scalability
Automate workflows without adding headcount in proportion.
Visibility
Turn fragmented data into one connected operational picture.
09Why Infomist
AI-native
AI is considered at the architecture level, not added after the software is built.
Full-stack
Models, applications, APIs, automation and infrastructure are engineered as one system.
Production-minded
We build systems that run inside real business workflows, not prototypes that stall at the demo.
10Frequently Asked Questions
Common questions about AI Automation Agency
What does an AI automation agency actually do?
An AI automation agency runs the full engagement: auditing manual processes to find the highest-ROI automations, designing the workflow logic, building it with the right AI models and integration layer, then supporting it in production. Infomist owns every stage under one contract, rather than you managing separate people for strategy, build and support.
Why hire an AI automation agency instead of a freelance consultant?
A freelance consultant is typically one person, available part-time, often strong on strategy but without a team to build and maintain what they recommend. An agency brings a full team (engineers, integration specialists, project management) under one point of contact, with continuity if someone is unavailable and accountability for the finished, running system, not just a recommendation.
What's included in an AI automation agency engagement?
A typical Infomist engagement includes: a process audit to identify automatable workflows, solution design, build using n8n, LangChain/LangGraph and LLM APIs, integration with your existing CRM/ERP/tools, testing, deployment, and a support period to monitor and refine the automation in production.
How do I choose the right AI automation agency?
Look for a track record of production systems (not just prototypes), a clear process audit step before any build starts, transparent fixed-scope pricing, and support included after launch. Ask to see a live automation they've built, not just a demo. Infomist scopes every engagement after a process audit rather than quoting blind.
How much does it cost to work with an AI automation agency?
A single-workflow engagement with an agency typically runs £5,000-£15,000. Multi-workflow programmes with several integrations run £15,000-£60,000. Enterprise engagements with dedicated support run £60,000+. Infomist scopes the exact price after a short process audit.
Have a system worth engineering?
Tell us what you're trying to solve. We'll help map the AI, software and automation required to make it real.