AI solutions & automation
Put AI to work on the tasks that slow your team down.
The challenge
Between AI hype and everyday reality
- Staff spend hours reading, sorting and re-typing documents
- The same customer questions are answered manually every day
- Knowledge is buried in files that are hard to search
- Processes depend on copying information between systems
- Previous AI experiments did not make it into daily use
Our approach
Practical AI with clear safeguards
We start by finding high-volume, well-defined tasks where automation delivers clear value and errors can be caught. We then design a solution that combines AI models with your data, business rules and human checkpoints. Every AI feature has defined boundaries: what it may do on its own, when it must ask a person, and how its outputs are logged and reviewed. We measure results against the manual baseline before scaling up.
Capabilities
What AI & Automation includes
AI assistants
Assistants that help staff draft, search, summarise and complete routine tasks inside existing tools.
Chatbots
Website and messaging assistants that answer common questions from approved content and hand over to people when needed.
Knowledge-base search
Search across policies, manuals and documents that returns answers with links to their sources.
Document extraction
Pull structured data from invoices, forms, applications and other documents for review.
Summarisation
Concise summaries of long documents, threads, meetings or case histories.
Workflow automation
Automated routing, notifications, data entry and hand-offs between systems.
API integrations
Connecting AI services with your CRM, helpdesk, storage and business applications.
Human review & escalation
Review queues, confidence thresholds and escalation rules so people stay in control.
Illustrative AI workflow
Example structure — not a live product demo
Step 1: Business input
Emails, documents, forms or tickets arrive as they do today.
Step 2: AI processing
Content is classified, extracted or summarised using your approved data.
Step 3: Human review
A team member checks, corrects or approves anything that matters.
Step 4: Business output
Approved results flow into your CRM, helpdesk or business systems.
Deliverables
What you receive
- Automation opportunity assessment
- Solution design with data flow and safeguards
- Proof of concept on representative data
- Production integration with your systems
- Review and escalation workflows
- Usage, accuracy and cost monitoring
- Operating guide for your team
Business benefits
Expected outcomes
Time back for skilled work
Repetitive reading, sorting and typing is reduced so people focus on judgement and relationships.
Faster responses
Customers and colleagues get answers sooner, with complex cases routed to the right person.
Consistent processing
Rules and checks are applied the same way every time.
Controlled adoption
Human review, logging and clear limits reduce the risk of errors reaching customers.
Illustrative use cases
How this can look in practice
Invoice data capture
Incoming invoices are read automatically, key fields are extracted, and a team member reviews and approves them before they reach accounting.
Policy question assistant
Staff ask questions about internal policies and receive answers with citations to the source document, with uncertain answers flagged.
Inquiry triage
Incoming website enquiries are categorised and routed to the right team, with suggested replies drafted for human approval.
Implementation process
How we deliver it
- Step 01
Identify
Find tasks with high volume, clear rules and measurable outcomes.
- Step 02
Assess data
Review data quality, privacy requirements and integration points.
- Step 03
Prototype
Test on representative examples and compare against the manual baseline.
- Step 04
Build safeguards
Review steps, thresholds, logging and escalation paths.
- Step 05
Integrate
Connect to your systems and train your team.
- Step 06
Monitor
Track accuracy, usage and cost; improve over time.
Relevant technologies
- Large language model APIs
- Retrieval-augmented generation
- Vector search
- Python
- FastAPI
- Workflow automation platforms
- OCR
- Webhooks & REST APIs
- PostgreSQL
Technology choices are made per project, based on your requirements and existing systems.
FAQ
AI & Automation questions
Will AI replace our staff?
Is our data used to train AI models?
What if the AI gives a wrong answer?
Do you offer an off-the-shelf AI product?
Diagrams and examples on this page are illustrative. They show how AI solutions can be structured and are not a demonstration of a live Newtogen product.
Related services
Often combined with
Ready to talk about ai & automation?
Tell us what you want to build, improve, or automate. Let's explore a practical solution together.