01 · AI & Machine Learning Engineering

Business Process Automation Services

We eliminate the manual bottlenecks draining your team's hours through business process automation built for production reliability, not proof of concept.

AI·Business Process Automation Services·Automation·Software

01The Challenge

The processes that keep the business running depend on people remembering to run them.

01

Manual bottlenecks

Critical processes wait on a specific person being available to move them forward.

02

Fragile hand-offs

Work passes between teams and tools with no system tracking the baton.

03

Proof-of-concept automations

Scripts and quick fixes exist but nothing is built for production reliability.

04

No process visibility

Leadership can't see cycle times, backlogs or where work is stuck.

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.

01

Ingest

Your data, documents, records, events, images, enters one system.

02

Understand

AI models interpret that information in your business context.

03

Decide

The intelligence layer identifies the next action worth taking.

04

Execute

Software and automation turn the decision into a real outcome.

03The Transformation

What changes when intelligence becomes part of the workflow.

Before

  • Person-dependent processes
  • Untracked hand-offs
  • Fragile scripts
  • No cycle-time visibility

Infomist Intelligence Layer

  • Triggers
  • AI decisions
  • Automation
  • Integrations

After

  • Processes that run themselves
  • Tracked, reliable hand-offs
  • Production-grade automation
  • Real process metrics

04How We Build It

Engineered from the ground up.

  1. 1

    Discover

    Understand the business problem, the data, and the workflow it lives in.

  2. 2

    Architect

    Define the AI, software, data, integration and infrastructure layers.

  3. 3

    Build

    Develop the production system, models, interfaces, pipelines and APIs.

  4. 4

    Integrate

    Connect the existing business systems and the people who use them.

  5. 5

    Optimize

    Measure performance, monitor behaviour, and improve continuously.

05What We Engineer

Capabilities.

Process mapping
Workflow orchestration
AI decision steps
System integration
Exception handling
Human-in-the-loop
Audit trails
Monitoring & alerts

06System Architecture

How the system runs.

01TRIGGERTrigger
02DATAData
03MODELAI processing
04DECISIONDecision
05WORKFLOWWorkflow
06APIAPI / system
07RESULTResult

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.

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 Business Process Automation Services

Which company is best for business process automation?

Infomist is a specialist business process automation company that eliminates manual bottlenecks using n8n, Make.com, Python, and AI where appropriate. Infomist's approach starts with a process audit to identify the highest-ROI automations before building, which means projects consistently deliver measurable cost savings and time reclaimed, not just technology for its own sake.

How much does business process automation cost?

A single process automation (e.g. invoice processing, lead routing, or client onboarding) typically costs £3,000-£10,000. A multi-process automation programme covering several workflows runs £10,000-£40,000. Ongoing automation maintenance and expansion retainers start at £800/month.

How long does it take to automate a business process?

A process audit and automation design takes 1-2 weeks. The build and testing phase typically runs 2-6 weeks per process depending on integration complexity. Most clients have their first automated workflow live within 4-6 weeks of engagement start.

Business process automation vs hiring more staff, which is more cost-effective?

For repetitive, high-volume processes, automation consistently delivers a better cost-per-task than hiring. A staff member executing the same process 50 times a week costs significantly more than an automated workflow running it indefinitely. Infomist typically targets a 12-18 month payback period on automation investment for most clients.

Can business process automation handle processes that involve judgment calls?

Yes, by adding an AI layer. Infomist builds hybrid automations: rule-based steps for the deterministic parts, AI reasoning for the judgment-heavy parts (e.g. classifying an incoming email's intent, deciding whether a lead qualifies, or summarising a document). Human review gates are built in for high-stakes decisions.

Start a Project

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.