AI Tool Integration

Connect AI into the tools your teams already use

We integrate assistants, retrieval, and automation into your systems of record, so people get value without changing where they work.

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What We Integrate

  • Productivity suites: Microsoft 365, Google Workspace, Slack, Teams, SharePoint

  • Customer platforms: Salesforce, ServiceNow, Zendesk, Dynamics, HubSpot

  • Data and content: data warehouses, data lakes, object stores, vector stores, document, and knowledge repositories

  • Operations and engineering: Jira, Confluence, Git platforms, CI and CD, observability tools

  • Security and identity: Okta, Azure AD, role-based access, logging, and audit

We are vendor neutral and designed for portability, so you avoid locking in and evolving as the market changes.

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Common Integration Patterns 

  • Retrieval and answers: accurate responses with citations from approved sources inside Slack, Teams, or a CRM

  • Workflow copilots: draft, review, and route items inside the case or ticket view

  • Decision support: summaries, scores, and explanations at the point of decision

  • Document automation: intake, classification, drafting, and QA in existing forms and templates

  • Knowledge capture: turn conversations and artifacts into reusable knowledge with approval and versioning

Engagement Model

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Orientation, one to two weeks

Confirm the business outcome and target roles. Select target tools and data sources. Align on risk tier and success metrics.

1

Build, thirty to ninety days

Stand up connectors and retrieval. Design prompts, tools, and UX inside the host application. Implement evaluation for quality, cost, and latency. Release to a pilot group with controls and audit evidence.

2

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Scale, next ninety days

Harden and extend. Add observability and role-based access. Expand to additional groups and adjacent workflows. Publish playbooks and training.

3

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Transfer, ongoing

Enable your teams to operate and enhance the solution. Establish review rhythms and light audits.

4

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Deliverables

  • Working integration inside your target tools

  • Connectors and retrieval over approved sources with citations

  • Evaluation dashboard for quality, cost, and latency

  • Governance pack with risk tiering, approvals, and audit trail

  • Enablement kit with quick references and office hours

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Security, Privacy, and Compliance

  • Data residency and retention aligned to policy

  • Role based access and least privilege

  • Prompt and template versioning with change control

  • Decision capture and evidence retention

  • Red team exercises and bias screens where applicable

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Metrics We Track

  • Time saved per task inside the host tool

  • Adoption and sustained usage by role

  • Answer quality and citation correctness

  • Cost per interaction and latency

  • Objective completion and variance to plan

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Pricing and Formats

  • Lighthouse integration: fixed scope, single workflow, thirty to ninety days

  • Scale package: additional workflows or new groups, adds observability and change operations

  • Advisory add on executive checkpoints, architecture, and policy reviews

Commercial terms can be aligned under MSA, SOW, and NDA.

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Pricing and Formats

Lighthouse build: fixed scope, single use case, thirty to ninety days

Scale package: additional use cases or new groups, adds observability and change operations

Advisory add on executive checkpoints, policy, and architecture reviews

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Commercial terms can be aligned under MSA, SOW, and NDA.

FAQs

  • No. The experience lives inside the tools they use every day.

  • Yes. We implement role-based access and support regional controls.

  • No. We work with what you have and design for gradual evolution.

  • We use retrieval with citations, evaluation thresholds, and human approval for higher risk actions.

Ready To Build?

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