INTELLIGENT BUSINESS AUTOMATION
Automate Repetitive Work and Create Smarter Business Operations.
Use AI, workflow automation and system integrations to reduce manual effort, accelerate decisions and improve customer and employee experiences.
- AI Assistants
- Customer Support Automation
- Sales Automation
Who it's for
Is this service right for you?
- Teams handling repetitive enquiries, documents or data entry
- Businesses exploring AI but unsure where it pays off
- Operations leaders who need human control over automated decisions
The problem we solve
Skilled people spend hours on repetitive, rules-based work that could be assisted by AI with proper oversight.
Common signs
- Teams spending hours on repetitive administrative work
- Slow response times to customer inquiries
- Documents and data re-keyed between systems
- Inconsistent follow-up across sales and service
Scope
What's included — and what isn't
Included
- Opportunity assessment and workflow selection
- Pilot build for one workflow
- Integration with your systems and data
- Human review steps and evaluation tests
- Rollout and monitoring
Not included by default
- Fully autonomous decisions in regulated or high-risk processes
- Model and API usage fees (billed by providers)
- Training custom foundation models
AI Automation
How we keep AI automation safe and measurable
Before and after
We map the current workflow and the target workflow, with time per task, before building.
Data access
The automation only reads the systems and fields it needs, with access you approve.
Human review
People approve outputs where errors are costly — for example before a reply is sent or a record is changed.
Evaluations
A test set of real examples measures accuracy before launch and after every change.
Fallback
When confidence is low or a service fails, the task goes to a person instead of guessing.
Running costs and pilot limits
Model and API fees recur monthly and depend on volume. Pilots cover one workflow with agreed volume limits.
Concrete deliverables
- Automation opportunity assessment
- Prioritized automation backlog
- Workflow design and integration map
- Deployed assistants and automations
- Governance, monitoring and quality checks
Technology we commonly use
- OpenAI-compatible models
- RAG pipelines
- Workflow automation platforms
- Python
- Vector databases
- API integrations
Final technology is confirmed per project.
How the engagement works
How we deliver ai automation
Step 1
Assess
Shortlist workflows by value, risk and data readiness.
Step 2
Pilot
Build one workflow with evaluations and human review.
Step 3
Measure
Compare pilot results against the baseline.
Step 4
Scale
Roll out and add further workflows if justified.
Example
Illustrative workflow: inbound email triage
- 1.Before: staff read every email, categorise it and copy details into the CRM.
- 2.After: AI suggests a category, extracts details and drafts a reply.
- 3.A team member reviews and approves in one click; unclear emails go straight to a person.
- 4.Weekly evaluation tracks accuracy and the share of emails needing edits.
Illustrative scenario to show how the work runs; not a specific client result.
What drives timing and cost
- Number of workflows
- Data sources and integrations
- Required accuracy and review steps
- Monthly volume (drives model costs)
- Security requirements
What we'll need from you
- A workflow owner
- Sample historical data for evaluations
- System access
- Reviewers during the pilot
Support and ownership
- Prompts, workflows and evaluation sets are yours
- Monitoring dashboard
- Optional ongoing tuning and support
Related
Related solutions, sectors and reading
Solutions
FAQs
AI Automation — Buying Questions
Which processes are suitable for AI?
Repetitive, high-volume tasks with clear examples of good outcomes, such as triage, extraction and drafting.
Will AI make decisions without people?
Only where you agree it is low-risk. Costly or sensitive actions keep a human approval step.
What happens when the AI is unsure?
The task is passed to a person. We design fallback paths for low confidence and service outages.
What are the running costs?
Model and API fees are charged monthly by providers based on volume. We estimate them during the pilot.
Is our data used to train public models?
We use provider settings and agreements that do not allow your data to train their models, where available, and confirm this per provider.
How do we start?
With an AI readiness assessment, then a limited pilot on one workflow.
AI Readiness Assessment
A short, structured review of your processes, data and systems to identify practical automation opportunities.
Pick your first AI pilot
Describe a repetitive workflow and we'll assess whether AI fits.
No obligation. Clear recommendations. Confidential discussion.