Deployment of AI Solutions

The Deployment of AI is iHaus’s newest practice area, built from hands-on work operating AI systems inside our own business and for our clients. Rather than reselling generic AI products, we deploy purpose-built systems on Anthropic’s Claude platform that connect directly to the tools your business already runs — Microsoft 365, Google Workspace, line-of-business databases, and team messaging platforms. We architect these deployments behind enterprise identity (Microsoft Entra ID, MFA) and the Model Context Protocol (MCP), giving your team controlled, auditable AI access to internal data and workflows. We operate as practitioners, not advisors: every pattern we recommend has been built, broken, and refined in our own infrastructure first.

Key Services Include:

  • AI Strategy and Practitioner Consultation:

    • Working sessions to identify where AI delivers measurable return — and where it doesn’t — based on your specific operating model.
    • Build-vs-buy assessment across Claude Team, custom MCP servers, and third-party AI tooling.
    • Risk and governance framing: data residency, vendor lock-in, identity integration, audit posture.

  • Custom AI Agents and Assistants:

    • Purpose-built AI assistants accessible from Telegram, Slack, web, or voice (Whisper transcription) — running on hardware you control or in a hardened cloud footprint.
    • Single-user or team deployments, with access tied to your existing directory.
    • Integrations with Google Workspace, Microsoft 365, Jira, Twilio, and other productivity stacks your team already uses.

  • MCP Server Deployment:

    • Hardened MCP servers exposing your internal databases, documents, and APIs to Claude — so the AI reasons over your data, not someone else’s cloud.
    • OAuth2 and SSO integration with Microsoft Entra ID, Duo MFA, and other identity providers.
    • SSL provisioning, restricted-access modes, and audit logging built in by default.

  • Reusable Claude Projects:

    • Pre-configured Claude Projects with instructions, files, and connectors that turn one-off AI use into repeatable team workflows.
    • Built around your firm’s actual processes — finance, operations, client communications, technical drafting — so output stays consistent across users.

  • Identity and Service Account Architecture:

    • Decoupling SaaS and AI integrations from individual employee identities to surface shadow AI using dedicated service accounts.
    • Reduces audit risk and prevents AI access from breaking when staff change roles or leave the business.

Benefits of iHaus AI Deployment Services:

  • Real Leverage, Not Hype:

    • AI applied where it actually compresses work — drafting, research synthesis, structured data extraction, technical documentation — rather than retrofitted into places it doesn’t belong.

  • Controlled Access to Your Own Data:

    • MCP-based architecture means your AI assistants operate behind your identity provider, against your data, with logging your IT or compliance team can actually review.

  • Operational Efficiency Without Re-Platforming:

    • AI sits alongside your existing M365, Google Workspace, and line-of-business systems. No migration project required.

  • Practitioner-Grade Implementation:

    • Every deployment pattern we recommend has been run in our own operations first. You are not the experiment.

Our Approach

At iHaus, AI deployment is engineering work, not slideware. We scope tightly, build in our own environment, validate against real workflows, and hand off documentation and identity controls your IT team can actually operate. We bias toward isolated, controllable solutions over loosely coupled third-party integrations — because the cost of an unreliable AI workflow is higher than the cost of building it right the first time.

Explore how iHaus can deploy AI inside your business — securely, practically, and in a way that compounds rather than expires. Contact us to discuss your environment and where AI can deliver measurable return.