AI automation for the admin your team should not be doing
We automate repetitive work that needs a little judgement: reading invoices and forms, sorting and drafting replies to emails, extracting data from documents and updating your systems. People stay in control of decisions, and anything the system is unsure about goes to a person to check.
At a glance
- Typical timeline
- 8 to 14 weeks for multi-process systems. 4 to 6 weeks for single process. 16 or more weeks for enterprise platforms.
- How we price
- Fixed price for an agreed scope, after a short discovery
- Technology
- Python, LangChain, OpenAI API, Anthropic Claude API, n8n, Make
What this usually looks like
Email Triage & Response
AI classifies incoming emails by intent and urgency, drafts contextual responses, and routes complex queries to appropriate team members.
Invoice Processing
Automated extraction of line items, amounts, and supplier details from PDF invoices with validation against purchase orders.
Customer Support Automation
Intelligent chatbots and email responders that resolve common queries using company knowledge bases with human escalation for complex issues.
Document Classification
Automatic categorisation and routing of contracts, applications, and regulatory documents based on content analysis.
Data Enrichment
Automated collection and validation of business data from multiple sources to maintain clean, current databases.
Report Generation
AI-driven compilation of business reports from multiple data sources with natural language summaries and trend analysis.
What you can expect
- Spend far less time on manual processing, with people focused on exceptions
- Handle customer enquiries 24/7 without additional staffing
- Eliminate human error in data entry and classification tasks
- Scale operations during peak periods without hiring temporary staff
- Free skilled employees to focus on strategic, high-value work
- Achieve consistent service quality regardless of volume
How the project runs
Process Audit & ROI Analysis
Elsio maps your existing workflows, identifies automation candidates, and calculates expected ROI for each process.1 to 2 weeks
AI Architecture Design
Elsio designs the automation architecture, selecting appropriate AI models, integration points, and fallback mechanisms.1 to 2 weeks
Development & Integration
Elsio builds the automation pipeline, integrates with your existing tools (CRM, email, ERP), and implements safety guardrails.4 to 8 weeks
Testing & Supervised Launch
Elsio runs the system in parallel with human processes, validates accuracy, and gradually transitions to autonomous operation.2 to 3 weeks
What you receive
- Process audit and automation roadmap
- AI automation pipeline with integrations
- Human-in-the-loop fallback system
- Monitoring and analytics dashboard
- Team training and documentation
- Performance benchmarking report
- 90-day post-launch support and optimisation
Is it the right choice?
If the task follows fixed rules with no interpretation, conventional automation is cheaper and more predictable than AI. And if a process is not yet stable or written down, automating it locks in the mess; we would map and simplify it first.
Strengths
- Handles unstructured data (text, images, documents)
- Makes contextual decisions beyond simple rules
- Scales linearly without proportional cost increase
- Operates 24/7 with consistent quality
- Improves accuracy over time through learning
- Integrates with existing business tools
Trade-offs to plan for
- Requires quality data for training
- Higher initial investment than traditional automation
- Needs ongoing monitoring and occasional retraining
- Not suitable for tasks requiring physical presence
- Edge cases may require human intervention
- Performance depends on input data quality
Custom AI automation vs Traditional Automation (RPA)
| Factor | Custom AI Automation | Traditional Automation (RPA) |
|---|---|---|
| Decision Making | Contextual AI-driven decisions | Rule-based if/then logic only |
| Natural Language | Understands text, email, documents | Cannot process unstructured text |
| Adaptability | Learns and improves over time | Fixed rules require manual updates |
| Complex Tasks | Handles multi-step cognitive work | Limited to simple, repetitive actions |
| Setup Complexity | Requires AI expertise and training data | Simpler to configure |
| Cost | Higher initial investment, lower per-task cost | Lower initial cost, higher scaling cost |
Common questions
What is AI automation?
How is AI automation priced?
How do we know if AI automation will pay off?
Will AI automation replace our employees?
How accurate is AI automation?
Can AI automation work with our existing software?
Talk to us about AI automation
Send a short brief and we will come back with questions, a rough approach and whether we are the right fit. No sales sequence.
Prefer email? info@elslabs.co.uk
Or message us on WhatsApp.