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How It Works

From first conversation to production agents — our partnership process

Step 1 — Deployment

Platform Delivery

Choose the deployment model that fits your organization

ibl.ai-Hosted

We manage the infrastructure

  • Fastest time to launch
  • No infrastructure overhead for your IT team
  • Fully managed updates and maintenance
  • Ideal for organizations that want speed

Customer-Hosted

Deployed in your environment

  • Full GitHub repository — the complete platform code
  • Pre-built Docker images — ready to deploy
  • Your security perimeter, your control
  • Ideal for regulated industries and data sovereignty
Both options deliver the same platform — a runtime for creating, managing, deploying, and using AI agents across web, mobile, API, and MCP
Platform is live — agents are accessible from day one
Step 2 — Delivery

How Delivery Works

A three-phase process from code handoff to production

1

We deliver the platform

  • Full GitHub repository — the complete multitenant platform code
  • Pre-built Docker images — ready to deploy, tested, and versioned
2

Joint development environment

  • We work alongside your team in a dev/staging environment
  • Agent configuration, system integration, testing, and training happen here together
3

Production — your way

  • Your team can promote to production independently, on your schedule and through your processes
  • Or we manage production for you — we run production environments for many leading organizations
  • Access to your production data is never a prerequisite — the choice is yours
  • ibl.ai-hosted deployments include full production management by our team
Platform deployed — begin building and connecting agents
Step 3 — Development

Agent Development

Self-serve, collaborative, or both — your team and ours build together

Self-Serve

Your teams build independently

  • Create agents through the platform UI or API
  • Connect to your data sources directly
  • Leverage institutional knowledge your team already has
  • Full API coverage — programmatic agent management

Collaborative

We work with you to build agents

  • Build agents connected to specific data sources
  • Develop MCP servers and custom data integrations
  • Configure SSO and enterprise deployment standards
  • Build software that makes agents more capable
Agents live and working — visible results from day one
Step 4 — Integration

Enterprise Integration

Connect to the tools and systems your organization already uses

Single Sign-On

SAML / OIDC

Data Sources

Your existing databases and APIs

MCP Servers

Custom data integrations

Existing Tools

LMS, CRM, SIS, and more

The platform adapts to your stack — your workflows don't need to change to support agents
Integrated and operational — continuous improvement begins
Step 5 — Partnership

Ongoing Collaboration

A continuous partnership — not a one-time deployment

Building specific agents

We develop purpose-built agents for your use cases, connected to your data and tuned for your workflows.

Extending platform capabilities

We build new features and integrations that make your agents more powerful — additional data sources, richer tooling, new interfaces.

Ongoing communication

Dedicated channels for collaboration, support, and strategic alignment as your needs evolve.

Best Practices

What Makes This Successful

1

Lead with tangible results

Start with concrete agents that can be demonstrated from day one. Stakeholders see working agents immediately — not a black box for months.

2

Start with specific use cases

Define concrete agents early. If the project definition is too broad without specific agents to show, stakeholder buy-in stalls while time goes into invisible infrastructure work.

3

Adapt to the existing stack

The platform integrates with your current tools and data sources. Your teams don't need to change their workflows to accommodate agents.

4

Empower your engineers

Your team has the institutional knowledge. When your engineers can build agents programmatically and connect them to internal data sources, the value compounds.

Getting Started

Proposed Next Steps

Pilot program

Deploy the platform on your infrastructure with a focused use case

Architectural deep-dive

Walk through the platform architecture with your technical teams

Integration mapping

Assess your existing systems and architect the agent layer

Hands-on workshop

Your teams learn to build and deploy agents on the platform