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AI-native automation across CRMs, ERPs, and custom queues—mixing rules with models. We map SLAs, exceptions, and audit needs so automations stay predictable when the world is not.
Comprehensive solutions tailored to your business requirements
Map existing processes, identify automation opportunities, and design AI-augmented workflows with SLA tracking and exception handling.
Extract, classify, and route documents using NLP and vision models with human review for edge cases.
Build resilient automation pipelines with retries, dead-letter queues, idempotency, and real-time monitoring.
Connect AI capabilities into existing BPM platforms and low-code tools where your teams already operate.
Reduce manual processing time by 60-90% on repetitive tasks
Fewer errors through consistent, rule-based + AI-powered decisions
Faster SLA compliance with automated routing and escalation
Clear audit trails for every automated decision
Smooth adoption with change management and training support
Gradual automation—start with AI-assisted, scale to fully automated
We design workflows with explicit exception paths. AI handles the predictable majority, flags uncertain cases for human review, and routes true exceptions to specialists. Over time, the system learns from human decisions to handle more edge cases automatically.
We build event-driven connectors using your system's APIs, webhooks, or message queues. Integrations are idempotent and include dead-letter handling so automation degrades gracefully if a downstream system is unavailable.
ROI depends on the workflow volume and complexity. Typically, organizations see 60-90% reduction in manual processing time with payback periods of 3-6 months. We help you build a business case with specific metrics before starting.
We combine deep technical expertise with a product-first mindset to deliver solutions that work in the real world.
Seasoned engineers across blockchain, AI & web
200+ projects delivered globally
From discovery to production & beyond
