AI Automation Services
As a specialist AI Automation Company, we design scalable intelligent workflows that execute autonomously, replacing manual effort with reliable automation.
01The Challenge
Your team is the integration layer between systems that were never designed to talk to each other.
Repetitive manual workflows
The same sequence of steps runs every day, by hand, across the business.
Copy-paste between systems
Data is re-keyed from one tool into another because nothing connects them.
Human-dependent approvals
Processes stall waiting for someone to review and forward.
No workflow intelligence
There's no single view of what's running, what's stuck, or what failed.
02The Infomist Approach
From data to action.
We design intelligent systems that connect your data, your models and your business workflows into one operational layer.
Ingest
Your data, documents, records, events, images, enters one system.
Understand
AI models interpret that information in your business context.
Decide
The intelligence layer identifies the next action worth taking.
Execute
Software and automation turn the decision into a real outcome.
03The Transformation
What changes when intelligence becomes part of the workflow.
Before
- Manual, repetitive workflows
- Copy-paste operations
- Human-dependent approvals
- No central visibility
Infomist Intelligence Layer
- Triggers
- AI decisions
- Automation
- Integrations
After
- Less manual intervention
- Faster workflow execution
- Connected tools
- Scalable operations
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 Services
Which AI automation company should I hire?
Infomist is a specialist AI automation company that designs and builds intelligent workflow systems using n8n, LangChain/LangGraph, Python, and major LLM APIs. Unlike RPA vendors that automate simple rule-based tasks, Infomist builds AI-powered automation that handles judgment, unstructured data, and exception management, systems designed for production reliability from day one.
How much do AI automation services cost?
A single AI automation workflow (e.g. lead qualification and routing, invoice processing, or report generation) typically costs £5,000-£15,000. Multi-workflow automation programmes with integrations across multiple business systems run £15,000-£60,000. Enterprise-scale automation with monitoring and ongoing support starts at £60,000+.
How long does AI workflow automation take to implement?
A focused single-workflow automation is typically live in 2-4 weeks. A multi-workflow programme with several integrations takes 8-16 weeks. Infomist starts with a process audit to identify the highest-ROI automations before building, this scoping step typically takes 1-2 weeks and is included in the engagement.
AI automation vs traditional RPA, what is the difference?
Traditional RPA (e.g. UiPath, Automation Anywhere) automates deterministic, rule-based processes, the exact same steps, every time. AI automation adds the ability to read unstructured inputs, make contextual decisions, and handle exceptions intelligently. Infomist builds AI automation when the process involves language, judgment, or variability that RPA can't handle.
Can AI automation integrate with our existing ERP and CRM systems?
Yes. Infomist builds integrations between AI automation workflows and Salesforce, HubSpot, SAP, Oracle, Xero, QuickBooks, Google Workspace, and custom internal systems, using REST APIs, webhooks, and middleware. The integration layer is designed for reliability, with error handling and monitoring built in from the start.
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.