Solutions

Automation and AI
infrastructure. One operating model.

in-box.ai implements Workhall for governed workflows and uses Cogniware.ai to optimize production AI infrastructure economics.

Diagram: workflows, applications and data flow through the in-box.ai operating model into automation, AI infrastructure and governance

Four solution areas

Where in-box.ai helps teams make better platform decisions.

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
Explore Workhall

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
Explore Cogniware.ai

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
Explore Agentic AI

Regulated industry workflows

Apply automation and AI infrastructure patterns to financial services, insurance, and public-sector workflows where governance and execution matter.

  • Sector playbooks and reference flows
  • Approval gates, audit trails, and data-boundary design
  • Phased roadmaps tied to operational outcomes
Explore Industries

Start here

Choose the first engagement by business intent.

Each offer is scoped to create a decision, a working pilot, or a clear production roadmap.

PaaS reviewPlatform dependency review

Assess whether a PaaS or SaaS platform is creating business value or quietly becoming a long-term dependency.

Review dependency
WorkflowFirst workflow pilot

Pick one approval, onboarding, service, or operations flow and turn it into a governed Workhall application.

Explore Workhall
AI costInference cost review

Benchmark AI workload routing, token usage, GPU utilization, and deployment choices before cost scales.

Review AI spend
Agentic AIAgent readiness sprint

Evaluate a candidate AI agent against workflow ownership, data access, policy controls, and integration needs.

Assess agents
SectorIndustry workflow map

Map sector-specific friction in banking, insurance, or public services and choose the first automation path.

Explore industries
ControlSovereign AI architecture review

Review data location, model routing, private deployment, and business continuity choices for regional AI programs.

Request scope

How we engage

A clear path from first workflow to scaled outcome.

Our canonical method is diagnose, design, implement, and optimize. The full method lives on How We Work so solution pages stay focused on business intent.