Workflow, RPA, and conversational stacks
Modern workflow stacks pair conversational AI with reliable automation, so people can ask for outcomes in plain language and the system can carry out the work across business apps, browsers, desktops, and back-office tools. Platforms like UiPath, Cognigy.AI, Rasa, Glean, and Wizr bring together orchestration, integrations, and governance so agentic workflows can run safely in production.
What we deliver
Most teams come to these stacks for three things: move faster, reduce operational errors, and keep control as automation scales. We design and ship end-to-end agentic workflows that connect chat/voice experiences to real business actions—ticketing, approvals, CRM updates, case resolution, and knowledge-to-action flows—without losing auditability and permissioning. Glean's orchestration, for example, is explicitly built around routing work between agents and coordinating multi-step workflows, which maps well to how enterprise teams actually operate.
Technologies we offer
UiPath (AI + RPA agents)
A strong fit when work depends on dependable desktop/web execution and long-running process control, with "agentic orchestration" designed to coordinate agents, robots, and people with guardrails and human-in-the-loop review.
Cognigy.AI
Built for enterprise contact centers, combining conversational and generative AI so agents can handle complex service interactions and integrate with tools and systems behind the scenes.
Rasa
A practical choice for teams that want tighter control over conversational behavior and deployment, with a long-standing focus on production-grade assistants and enterprise rollout patterns.
Glean Assistant / Glean Orchestration
Best when the problem is "find the right internal knowledge and take the right action," using orchestration to route questions to specialist agents and coordinate multi-step workflows across systems.
Wizr Enterprise AI Platform
Positioned as an enterprise AI agent platform for building agents and automating workflows across common internal functions like IT, HR, and support.
Typical engagements
Workflow design that separates "reasoning steps" from "execution steps," with clear escalation paths and approval points for sensitive actions. UiPath highlights this pattern directly by emphasizing controlled agency, process guardrails, and human review as part of agentic orchestration.
Conversational-to-action buildouts: connect chat/voice to the systems that do the work, then measure outcomes (containment, resolution time, deflection, throughput) and harden the experience. Cognigy positions its platform around orchestrating a goal-driven AI workforce for contact centers, which fits this engagement model.
Orchestration and governance to prevent "agent sprawl," including routing, permissions, sharing controls, and operational oversight. Glean describes governance and orchestration capabilities specifically in terms of routing tasks between agents and enforcing permissions-aware controls.
When to choose what
Choose UiPath when the priority is reliable cross-system automation that includes robots and people in the loop, not just chat.
Choose Cognigy.AI when the primary surface area is customer support across voice and digital channels.
Choose Rasa when privacy, customization, and deployment flexibility are non-negotiable.
Choose Glean when enterprise knowledge + agent routing + multi-step orchestration are central to the use case.
Choose Wizr when the goal is a focused internal "agent platform" for workflow automation across business functions.