IMPROVE SERVICES
AI-Powered Workflow Automation
Intelligent workflows that handle real-world exceptions. Cut manual work by 85%, achieve 200-500% ROI[src], and break even within 6-12 months[src]. Production-grade automation built for development teams, not low-code platforms.
85%
Less Manual Work
6-9 months
Avg Payback
99.8%
Automation Accuracy
Production-Grade Automation That Adapts
Built for Developers, Not Low-Code Platforms
Reduce manual work by 85% and save 1-2 hours daily per knowledge worker
Accelerate deployments 3x faster with AI-enhanced test selection and generation
Achieve high accuracy with validated automation and error reduction
Scale 10x without proportional team growth through intelligent pipeline orchestration
BNP Paribas reduced release time from 4 weeks to 10 minutes[src], freeing 15 employees for strategic work. Knowledge workers reclaim 1-2 hours daily[src] from repetitive tasks. Automation handles document processing, data entry, and approval workflows so teams can focus on higher-value activities.
Reduce manual work by 85% and save 1-2 hours daily per knowledge worker
Accelerate deployments 3x faster with AI-enhanced test selection and generation
Achieve high accuracy with validated automation and error reduction
Scale 10x without proportional team growth through intelligent pipeline orchestration
How We Build Intelligent Automation
Vendor-Neutral, Open-Source First
1. Process Analysis
We map your workflows, spot bottlenecks, and identify where automation delivers measurable value. Baseline metrics let us set realistic ROI targets and payback timelines. Focus stays on high-impact areas first.
2. Build & Integrate
We build using Airflow for data pipelines, Temporal for long-running workflows, or n8n for rapid integration. Claude API handles document processing with 200K token context, OpenAI provides function calling for agentic workflows, and LangChain orchestrates the decision logic. Self-healing pipelines recover gracefully from edge cases.
3. Monitor & Optimise
After launch, we track accuracy, detect anomalies early, and tune performance as usage patterns emerge. Automated alerts flag issues before they impact users. Fallback logic kicks in when conditions change unexpectedly.
1. Process Analysis
We map your workflows, spot bottlenecks, and identify where automation delivers measurable value. Baseline metrics let us set realistic ROI targets and payback timelines. Focus stays on high-impact areas first.
2. Build & Integrate
We build using Airflow for data pipelines, Temporal for long-running workflows, or n8n for rapid integration. Claude API handles document processing with 200K token context, OpenAI provides function calling for agentic workflows, and LangChain orchestrates the decision logic. Self-healing pipelines recover gracefully from edge cases.
3. Monitor & Optimise
After launch, we track accuracy, detect anomalies early, and tune performance as usage patterns emerge. Automated alerts flag issues before they impact users. Fallback logic kicks in when conditions change unexpectedly.
Proven ROI and Business Impact
Real Results from Production Automation
Measurable ROI
200-500% ROI
200-500% returns with payback in 6-9 months. Small businesses typically save £50-150K annually[src]. We have manufacturing clients who have achieved strong returns from production scheduling automation alone.
Less Manual Work
85% reduction
Cut repetitive work significantly. Your team reclaims valuable hours daily. BNP Paribas dramatically reduced release times and moved 15 people from toil to actual strategy work.
Faster Deployments
3x faster
AI-enhanced testing cuts deployment time by 3x. Generated tests run only what matters, not the whole suite. Cycle times drop from hours to minutes, with better coverage than manual testing.
Better Accuracy
99.8% accurate
Validated automation achieves high accuracy. Errors drop significantly compared to manual work. Add intelligent validation and data accuracy improves substantially. Machines don't have bad days.
Measurable ROI
200-500% ROI
200-500% returns with payback in 6-9 months. Small businesses typically save £50-150K annually[src]. We have manufacturing clients who have achieved strong returns from production scheduling automation alone.
Less Manual Work
85% reduction
Cut repetitive work significantly. Your team reclaims valuable hours daily. BNP Paribas dramatically reduced release times and moved 15 people from toil to actual strategy work.
Faster Deployments
3x faster
AI-enhanced testing cuts deployment time by 3x. Generated tests run only what matters, not the whole suite. Cycle times drop from hours to minutes, with better coverage than manual testing.
Better Accuracy
99.8% accurate
Validated automation achieves high accuracy. Errors drop significantly compared to manual work. Add intelligent validation and data accuracy improves substantially. Machines don't have bad days.
Three Core Automation Types
Business processes, data pipelines, and CI/CD enhancement with intelligent orchestration
Process Automation
Workflows that adapt to exceptions and route intelligently based on content and context.
- Document processing with Claude API extraction (200K token context)
- Intelligent routing using OpenSearch vector database semantic search
- Exception handling orchestrated with LangChain logic chains
- Automated validation achieving high accuracy in production
Data Pipelines
Self-healing ETL workflows that scale from gigabytes to terabytes without manual intervention.
- Apache Airflow orchestration handling 100,000+ DAGs per deployment
- Real-time processing with AWS Lambda scaling to thousands per second
- ML-powered anomaly detection alerting when patterns shift
- Schema adaptation using Airbyte AI-powered ELT with auto-healing
CI/CD Enhancement
AI-accelerated testing and deployment reducing cycle times by 3x with better coverage.
- AI-generated test suites integrated directly with GitHub Actions
- Intelligent test selection significantly reducing CI runtime
- Automated code review with Claude API catching edge cases pre-merge
- Deployment orchestration with AWS Step Functions predicting failures
Process Automation
Workflows that adapt to exceptions and route intelligently based on content and context.
- Document processing with Claude API extraction (200K token context)
- Intelligent routing using OpenSearch vector database semantic search
- Exception handling orchestrated with LangChain logic chains
- Automated validation achieving high accuracy in production
Data Pipelines
Self-healing ETL workflows that scale from gigabytes to terabytes without manual intervention.
- Apache Airflow orchestration handling 100,000+ DAGs per deployment
- Real-time processing with AWS Lambda scaling to thousands per second
- ML-powered anomaly detection alerting when patterns shift
- Schema adaptation using Airbyte AI-powered ELT with auto-healing
CI/CD Enhancement
AI-accelerated testing and deployment reducing cycle times by 3x with better coverage.
- AI-generated test suites integrated directly with GitHub Actions
- Intelligent test selection significantly reducing CI runtime
- Automated code review with Claude API catching edge cases pre-merge
- Deployment orchestration with AWS Step Functions predicting failures
Related AI Services
Complementary AI capabilities that enhance automation workflows
Infrastructure & Process Services
DevOps, process optimisation, and cost reduction to maximise automation ROI
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