Solutions
Automation and AI
infrastructure.One operating model.
in-box.ai connects workflows, applications, data, and AI infrastructure into scalable operating models using Workhall and Cogniware.ai.
Four solution areas
Where in-box.ai creates measurable value.
Use each on its own, or combine them into one governed operating model.
Workflow automation
Use Workhall to digitize approvals, case management, task routing, reporting, and cross-department operations without long custom development cycles.
- No-code business apps and approval flows
- Task routing and operational visibility
- Governance, audit trails, and reporting
AI infrastructure optimization
Use Cogniware.ai to reduce production AI cost, improve visibility, and make model operations more reliable for demanding enterprise workloads.
- Inference optimization and model routing
- Higher GPU utilization, lower cost
- Neocloud data center design
Agentic AI
Design secure AI agents, bots, and intelligent workflows around your systems, operating model, and governance requirements.
- Enterprise agents and digital workers
- MCP, API, data, and legacy integration
- Platform-agnostic architecture and deployment
Industry transformation
Apply automation and AI infrastructure patterns to financial services, insurance, and public-sector workflows where governance and execution matter.
- Sector playbooks and reference flows
- Regulatory-grade compliance built in
- Phased roadmaps to measurable impact
How we engage
A clear path from first workflow to scaled outcome.
A practical, low-risk engagement model, not a long transformation program.
Diagnose
Map priority workflows or AI workloads, current cost, and clear success criteria.
Design
Define the operating model: roles, data, approvals, integrations, and architecture.
Implement
Configure, validate with real users, migrate selected data, and support go-live.
Optimize
Review adoption and cost, tune performance, and expand to the next workflow.