We combine Robotic Process Automation with AI intelligence to automate workflows that traditional RPA can't handle — document processing, exception handling, ERP data entry, and intelligent routing — so your teams stop doing machine work and focus on decisions that actually need humans.
UiPath · Power Automate · AI-powered BPA · ERP/CRM Integration · IoT & Edge AI
Traditional RPA breaks the moment a form changes layout or an exception appears. We combine RPA with AI — document intelligence, NLP classifiers, and decision models — so automations handle variability gracefully and route only genuine edge cases to humans, rather than failing on anything unexpected.
Invoices, purchase orders, contracts, and forms arrive in dozens of layouts. We build AI document processing pipelines using Azure Document Intelligence, AWS Textract, or custom OCR models that extract structured data from unstructured documents at 95%+ accuracy — feeding that data directly into your ERP, CRM, or workflow systems without manual entry.
We map and automate multi-step approval workflows — purchase approvals, employee onboarding, compliance sign-offs, client onboarding — using UiPath, Power Automate, or custom orchestration. AI classifiers route items to the right reviewer based on content and risk level, with escalation logic for SLA breaches and full audit trails for compliance teams.
We integrate LLMs into automation exception paths — when a bot encounters a response or document it hasn't seen before, the LLM interprets the situation and determines the correct action rather than crashing. This dramatically expands the automation rate for variable processes, reducing human review queues by 70–90% for most client workflows.
SAP, Oracle, Salesforce, and NetSuite hold enormous operational value — but accessing and acting on that data with AI requires careful integration design. We build bidirectional AI integrations that read from and write back to your core systems, with proper data validation and rollback capabilities.
We build automation connectors for SAP S/4HANA, SAP ECC, and Oracle ERP using official APIs and certified UiPath SAP components — automating high-volume data entry tasks like goods receipts, invoice posting, master data updates, and report generation without manual UI scripting that breaks with system upgrades.
We build AI enrichment pipelines that automatically populate CRM records with lead scores, churn probabilities, next best actions, and conversation summaries — keeping rep-facing data current without manual work. Automations also trigger follow-up tasks, update deal stages based on signals, and surface prioritised call lists directly in Salesforce or HubSpot views.
For manufacturing, logistics, and field operations, waiting to send data to the cloud before making decisions adds latency and costs bandwidth. We deploy lightweight AI models at the edge — on IoT gateways, cameras, and embedded devices — that classify, detect, and act locally in milliseconds.
We compress, quantise, and deploy ML models on edge hardware — NVIDIA Jetson, Raspberry Pi, industrial PLCs, and custom IoT gateways — using ONNX, TensorRT, or TFLite for optimal inference speed. OTA model update pipelines let you push improved models to thousands of devices without physical access, with rollback capability if a new version degrades performance.
Edge devices process locally but insights need to reach central systems. We build efficient synchronisation pipelines that transmit summaries, anomalies, and model outputs to cloud data lakes — buffering locally during connectivity loss and flushing reliably when connectivity resumes. Cloud-side aggregations combine edge telemetry with operational data for full-picture analytics.
Book a free process audit. We'll identify your top 3 automation candidates, estimate the FTE savings, and design the right approach — RPA, AI, or hybrid.