Moterra AI Bridge adds admin, MDM, integrations, and agents to your Claude Cowork - all from one console, deployed alongside Cowork in your own cloud.
Claude Cowork - even with Enterprise admin console and native connectors - is designed around individual productivity. Bridge is the governance and integration layer that turns it into a system for the whole business.
Each user has their own workspace. Even with admin console and SSO, you cannot build agents once and share them across teams, apply granular per-user model or token quotas, or see real-time cost breakdown by user, model, and use case.
Team-shared agents built by power users, distributed automatically. Granular controls over which models each user can access, with token quotas per person. Real-time cost dashboard showing where every euro of your AI budget goes.
Claude works with what users paste in, or connects to public web and personal drives. It does not respect your SharePoint permissions, does not query your databases, does not connect to legacy systems that do not speak MCP.
Permission-aware SharePoint RAG via Entra ID impersonation, Text-to-SQL against your databases with schema modelling, and Dify-based tools for any legacy API. Users only see answers grounded in documents they actually have access to.
Great AI use cases stay in one power user’s head. Half your licences go unused. When leadership asks what your AI ROI is, you have no data - just gut feel.
Automated use-case analytics show exactly how AI is being used - which teams, which tasks, and how much time saved per case. Real ROI numbers you can bring to the board.
From SharePoint permissions to team-shared agents to real-time cost tracking - eight capabilities that turn Claude Cowork into a governed AI system your business can rely on.
Multiple knowledge bases, each scoped to specific SharePoint sites, folders, or files. When users query, Bridge impersonates their Entra ID identity - so they only get answers grounded in documents they actually have access to. Hybrid retrieval uses vector-based chunks for large document sets and whole files when they fit the context window.
Extends Claude Enterprise withEntra ID impersonation, multi-knowledge-base scoping, hybrid retrieval, per-user permission-aware RAG.
Instead of every employee configuring their own chatbot, your power users build agents and skills centrally, then distribute them to whole teams. Agents can use any combination of your knowledge bases, MCP tools, Dify workflows, and 12 built-in capabilities including charts, artifacts, translation, deep research, and image generation.
Extends Claude Enterprise withCentrally-built shareable agents, custom skills packaging, image generation, cross-team distribution.
Connect any SQL database read-only and Bridge auto-builds a queryable semantic layer - AI schema modelling, view management, SQL templates for reliable queries, and SQL examples for pattern learning. Non-technical users ask questions in their own language; agents return trustworthy answers grounded in your actual data.
Extends Claude Enterprise withText-to-SQL with schema modelling, view management, template-based query safety, per-database access control.
Anonymised conversation analysis automatically categorises AI usage into business use cases. See exact adoption patterns per team - which tasks, how many uses, how much time saved. Reports ready for leadership without manual surveys.
Extends Claude Enterprise withAutomated use-case discovery, per-user time-saved tracking, board-ready ROI reports.
One place to manage users, ACL groups, API tokens, model access, and token quotas. Real-time cost tracking per user and per model. Every action logged to your CloudTrail.
Search, retrieve, and scrape web content for research tasks. Multiple retrieval strategies ensure current, verified sources for grounded answers - not just what LLM training data covered.
Package prompts, tools, knowledge bases, and workflows into skills that ship to every user automatically. Build from scratch, import from Markdown, or auto-generate with AI.
Build custom tools with authentication, connect to legacy systems that do not support MCP, and add whatever your business needs. Dify hosted inside your VPC.
From deployment to daily operations, Moterra handles the work so your IT team does not have to.
Need deeper transformation, with AI embedded across business processes? Ask us about Forward Deployed Engineering.
“Within a week of going live, 80% of our team was using AI in everyday tasks. Moterra connected all our knowledge sources into one place, and then helped us build a custom NIS2 audit tool that reduced our audit time by 80%.”
Tadas Vilkas
PMO, Skaylink - a Vodafone company
Every connector reads and writes across CRM, comms, support, docs, code, and data - inheriting the permissions already in place. No new logins, no new SSO maps.
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A clear split of data control, ownership, and operational responsibility. Bring it to the first call already filled in.
What Moterra runsMoterra builds and operates Bridge as your managed service - platform hosting, MCP plugin operation, model updates, security patching, and Client Success support are all included.
Where Bridge sitsBridge covers the operations layer, running alongside your Private Claude Cowork deployment. For infrastructure ownership - AWS account, encryption keys, and data residency - see Private Claude Cowork.
Moterra meets the standards your security, legal, and procurement teams will ask about before anyone else touches the product.
Certified for information security and AI risk management.
Moterra supports GDPR requirements for data protection.
Independently audited for operational security and data handling.
Certified under the Well-Architected Framework for GenAI solutions.
Works seamlessly with Microsoft 365 applications.
For the full value, yes. Bridge is designed to manage a complete Cowork rollout: single admin console, MDM control, plugins, agents, and audit logs unified inside your own cloud. Technically, Bridge’s MCP plugins and Dify workflows can also be used with Claude Team or Claude Enterprise, since MCP is an open standard, but in that setup you lose the parts that make Bridge powerful: MDM management, in-tenant data residency, unified audit logs, and full GDPR/DORA defensibility. If you already run Claude another way, bring the setup to a deployment review and we will tell you honestly what Bridge can and cannot manage in your environment.
In your own cloud. Bridge is deployed as a single-tenant solution into the same AWS account and VPC as your Private Claude Cowork: one perimeter, one owner. Your data, prompts, files, audit logs, and vector stores never leave your AWS environment. Moterra operates the platform as your data processor, but does not host any of your data.
Through your existing identity provider. Bridge supports SSO via Microsoft Entra ID and Google Workspace out of the box. Users log in with the same corporate credentials they already use, with no separate Claude accounts to manage. Joiners and leavers flow through the same provisioning process as the rest of your estate.
Bridge ships with four standard MCP plugins that let Claude Cowork work directly with your business systems: SharePoint RAG (Claude answers questions grounded in your internal documents), Text-to-SQL (Claude queries your databases in plain language), Web Search & Scrape (Claude retrieves real-time information from the web), and Dify Workflows & Agents (Claude runs multi-step automations built on the open-source Dify platform, hosted inside your VPC). Because Dify supports MCP and standard APIs, Claude can be connected to virtually any business system through Bridge, including Salesforce, Jira, Zendesk, Confluence, SAP, or custom internal tools, and use them inside workflows or agents.
No. Every MCP plugin runs inside your AWS VPC. When Claude queries SharePoint, runs a SQL query, or executes a Dify workflow, the data flows between your systems and Claude on Bedrock, all inside your AWS perimeter. Web Search & Scrape is the only plugin that reaches external websites, and only for the specific URLs requested by users. Nothing is sent to Moterra, Anthropic, or third-party services beyond what the plugin explicitly needs.
By default, every user prompt, model response, plugin call, and administrative action is captured in AWS CloudTrail plus a dedicated log bucket in your AWS account, with retention and access controlled by you. For enterprise deployments, Bridge can forward logs directly to your SIEM (Splunk, Sentinel, Datadog, or others) or to a custom log destination. The logs live in your environment, so you can meet DORA, GDPR, and internal audit requirements without depending on Moterra.
Both. Moterra builds the initial set of agents for standard use cases such as document analysis, meeting summaries, and structured data extraction during onboarding. After go-live, your team gets proper training from Moterra and can build additional agents through Dify’s visual workflow builder: simple chatbots and Q&A agents require no coding, while more complex workflows benefit from basic technical understanding of APIs and conditional logic. For anything advanced, Priority and Enterprise Support tiers include consulting hours for custom agent development.
One to two weeks alongside Private Claude Cowork, when deployed together. Bridge shares the same AWS account, VPC, and identity integration as Cowork, so most of the setup work is done once. If you already have Cowork running and are adding Bridge on top, expect about one week for admin console setup, plugin configuration, and initial agent build-out.
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