Opportunity discovery
We find repetitive, data-heavy tasks where AI can save time or improve decisions, and where it should not be used.
You receive: Ranked AI opportunities
Service 08
Applied AI & Intelligent Business Systems
Practical AI that solves a real problem, safely and measurably.
Extrion Payment Options
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PBZ Bank- Bank
- PBZ Bank
- Account name
- Extrion Tech
- Account number
- 045 195 9000
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Mixx by Yas- Number
- +255 674 020 223
- Name
- Habiil Jamal Salim
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Lipa Namba- Lipa Namba
- 16172192
- Name
- EXTRION TECH
Overview
Intelligent Business Systems
We apply practical AI and intelligent automation to help organisations search information, understand data, automate routine work and make better decisions.
The problem
AI is easy to demonstrate and hard to make useful. Without clear use cases, data protection and integration, it stays an isolated experiment.
What we deliver
Service components
AI assistants, intelligent search, document extraction and summarisation, AI-enabled approval workflows, knowledge assistants and AI readiness assessments.
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AI assistants
Chat assistants that answer questions from your own approved information.
- Your content
- Clear limits
- Human handover
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Intelligent search
Search that understands meaning, so staff find documents by asking questions.
- Natural language
- Permissions
- Source links
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Document intelligence
Information extracted and summarised from forms, invoices and reports.
- Extraction
- Summaries
- Human review
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AI-enabled workflows
AI steps added to existing processes, such as drafting, classifying or routing.
- Drafting
- Classification
- Routing
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Predictive and analytical use cases
Patterns in your data used to forecast demand, risk or performance where data allows.
- Forecasting
- Trend analysis
- Data checks
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Knowledge assistants
An assistant trained on your policies and procedures to support staff day to day.
- Policies
- Procedures
- Onboarding
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Automation opportunities
We identify the repetitive tasks where AI or automation saves the most time.
- Task review
- Time savings
- Priorities
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AI readiness and adoption consulting
Guidance on data, policy, risk and training before AI is introduced.
- Data readiness
- Usage policy
- Staff training
AI Technologies
Practical AI, grounded in your own information.
The models, frameworks and data tools we use to build assistants, intelligent search, document processing and AI-enabled workflows.
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Language Models
OpenAI
OpenAI's models power chat assistants, summarisation, drafting and extraction through an API.
Key capabilities
- Chat and reasoning
- Embeddings
- Function calling
Typical business applications
- Assistants
- Document processing
Supported platforms
Cloud
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Language Models
Claude
Claude models handle long documents, analysis and assistants with strong instruction following.
Key capabilities
- Long context
- Analysis and writing
- Tool use
Typical business applications
- Knowledge assistants
- Document review
Supported platforms
Cloud
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Language Models
Google Gemini
Gemini powers Google's AI features; it is also available as a model for business assistants.
Key capabilities
- Multimodal models
- Long context
- Google integration
Typical business applications
- AI Overviews readiness
- Assistants
Supported platforms
Cloud
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Language Models
Ollama
Ollama runs open-weight models locally, so sensitive data never leaves your infrastructure.
Key capabilities
- Local models
- Simple API
- No data leaves the server
Typical business applications
- Private assistants
Supported platforms
Linux Windows macOS
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Language Models
Hugging Face
Hugging Face hosts open models for language, vision and speech that can be adapted to your needs.
Key capabilities
- Open model hub
- Transformers library
- Datasets
Typical business applications
- Custom classifiers
- Speech and vision
Supported platforms
Cloud Linux
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Frameworks & Orchestration
LangChain
LangChain connects models to your documents, tools and workflows, including retrieval-augmented answers.
Key capabilities
- Retrieval pipelines
- Tool calling
- Model agnostic
Typical business applications
- Knowledge assistants
Supported platforms
Linux Cloud
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Frameworks & Orchestration
Python
Python runs APIs, data processing, AI features and automation scripts, and also builds simple cross-platform desktop tools.
Key capabilities
- Data and AI libraries
- Fast scripting and automation
- APIs with Django or FastAPI
Typical business applications
- Reports and data pipelines
- Internal utilities
Supported platforms
Windows macOS Linux Cloud
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Frameworks & Orchestration
FastAPI
FastAPI builds typed Python APIs with interactive documentation generated automatically.
Key capabilities
- Typed endpoints
- Auto documentation
- High performance
Typical business applications
- AI and data services
- Integration APIs
Supported platforms
Linux Cloud
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Frameworks & Orchestration
Jupyter
Jupyter notebooks explore data and prototype models with code, charts and notes together.
Key capabilities
- Interactive notebooks
- Charts inline
- Shareable
Typical business applications
- Proofs of concept
Supported platforms
Linux Windows macOS Web
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Search & Knowledge
Vector search
Vector search (for example pgvector in PostgreSQL) finds passages by meaning, the basis of document assistants.
Key capabilities
- Semantic search
- Runs in PostgreSQL
- Permission-aware results
Typical business applications
- Intelligent search
- Knowledge assistants
Supported platforms
Linux Cloud
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Search & Knowledge
Elasticsearch
Elasticsearch indexes text and logs for fast full-text search and analytics across very large data sets.
Key capabilities
- Full-text search
- Log analytics
- Scales across nodes
Typical business applications
- Site and product search
- Central log search
Supported platforms
Linux Cloud
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Search & Knowledge
Redis
Redis keeps data in memory for microsecond responses and is used for caches, sessions, queues and live counters.
Key capabilities
- Very fast caching
- Queues and pub/sub
- Session storage
Typical business applications
- Speeding up websites and APIs
- Background job queues
Supported platforms
Linux Cloud
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Document Intelligence
OCR engines
OCR engines such as Tesseract read text from scanned forms, invoices and photos for further processing.
Key capabilities
- Printed text recognition
- Many languages
- PDF and image input
Typical business applications
- Digitising paper records
Supported platforms
Linux Windows Cloud
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Document Intelligence
pandas
pandas cleans, joins and reshapes business data before it reaches reports.
Key capabilities
- Data cleaning
- Joins and pivots
- Excel and CSV input
Typical business applications
- Data preparation
Supported platforms
Linux Windows macOS
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Machine Learning
PyTorch
PyTorch trains and runs machine learning models for vision, language and prediction.
Key capabilities
- Model training
- GPU acceleration
- Large ecosystem
Typical business applications
- Custom models
Supported platforms
Linux Windows macOS Cloud
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Machine Learning
TensorFlow
TensorFlow trains models and deploys them to servers, browsers and mobile devices.
Key capabilities
- Training and serving
- TensorFlow Lite for mobile
- Production tooling
Typical business applications
- On-device prediction
Supported platforms
Linux Windows macOS Android iOS
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Machine Learning
scikit-learn
scikit-learn builds forecasting, classification and clustering models on tabular business data.
Key capabilities
- Classification and regression
- Clustering
- Model evaluation
Typical business applications
- Demand forecasting
- Risk scoring
Supported platforms
Linux Windows macOS
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AI Workflows
n8n
n8n connects apps and APIs in visual workflows and can run on your own server.
Key capabilities
- Visual workflows
- Self-hosting
- Hundreds of connectors
Typical business applications
- Automating approvals and notifications
Supported platforms
Linux Cloud
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AI Workflows
Make
Make builds visual automation scenarios with branching, data mapping and error handling.
Key capabilities
- Visual scenarios
- Data mapping
- Error handling
Typical business applications
- Marketing and operations automation
Supported platforms
Cloud
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AI Workflows
Zapier
Zapier links thousands of cloud apps with simple trigger-and-action automations.
Key capabilities
- Thousands of apps
- No-code setup
- Multi-step flows
Typical business applications
- Quick SaaS automations
Supported platforms
Cloud
No technology matches your search. Try another name or category.
How We Build AI Systems
Combinations for real business use
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Claude + LangChain + Vector search
Knowledge assistant
Answers from your policies and documents, with sources, limited to what each user may see.
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Ollama + Vector search
Private, on-premise assistant
Open models on your own server so sensitive data never leaves.
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OCR engines + OpenAI + n8n
Document processing
Scanned forms read, fields extracted and routed for human review.
From idea to responsible AI
How we apply AI with you
We prove value with a small, safe proof of concept before any AI touches real customers or sensitive data.
- 06Clear stages
- 6Deliverables you keep
- Your sign-off at every stage
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Step 01 1 week -
Step 02 3–5 days Data & privacy review
Data quality, consent, confidentiality and regulatory constraints are checked before anything is built.
You receive: Data & privacy assessment
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Step 03 2–4 weeks Proof of concept
A focused prototype is tested on real examples, with accuracy measured against your current process.
You receive: Working proof of concept
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Step 04 Project-based Workflow integration
The model is built into your systems with human review, logging and clear limits.
You receive: Integrated AI workflow
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Step 05 1–2 weeks User adoption
Training shows staff how to use, check and challenge AI output with confidence.
You receive: Trained users & guidelines
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Step 06 Ongoing Measurement & improvement
Accuracy, time saved and feedback are tracked so the system keeps earning its place.
You receive: Impact dashboard
Business outcomes
What changes for you
- Time saved on repetitive work.
- Fewer errors in document handling.
- Faster response to customers and staff.
- Humans kept in the loop for important decisions.
- Measurable value, not just features.
Technologies & capabilities
AI Assistants / Intelligent Search
Document intelligence
Knowledge bases
Deliverables
- Design and documentation
- Implementation, testing and handover
- User and administrator training
- Support and maintenance options
FAQ
Common questions
Is our data safe when using AI?
Before connecting business data to an AI service we define what information can be processed, where it goes and who can access it.
Related projects
Where we’ve delivered this
Talk to us about intelligent business systems
Your technology should make work easier, not create more work. Tell us what you are trying to solve, and we will help you map the right solution.
