Fixed-Scope AI Engineering Offers

Fixed-scope, senior-delivered engagements with clear timelines, concrete deliverables, and no open-ended consulting bloat.

Primary Offer

Internal Knowledge Copilot Pilot

Outcome: Find internal answers in seconds with traceable citations and zero hallucination risk.

Deploy a secure, grounded internal knowledge copilot connected directly to your company knowledge base with traceable source citations. Solve documentation sprawl by indexing your internal wikis, SharePoint repositories, and file storage while keeping your business IP strictly within your network boundaries.

Target Audience

Mid-market teams using Microsoft 365 and Azure-heavy environments, facing high search friction across multiple shared drives and SharePoint instances.

Timeline & Investment

4 Weeks — Fixed Scope Execution

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What We Deliver

  • 1

    SharePoint and Azure file sync

    Automated ingestion pipeline parsing PDF, markdown, and Word documents safely.

  • 2

    Citation-first retrieval and answer grounding

    Strict retrieval-augmented generation matching model answers to verified source text blocks.

  • 3

    4-week production-ready pilot rollout

    Clean, responsive interface for search, grounded chat, and citation verification.

  • 4

    Observability Dashboard

    Track queries, response times, model accuracy, and token expenditures.

What We Deliver

  • 1

    Privacy and compliance review

    Verifying that proprietary business data remains isolated and is not leaked to public models.

  • 2

    Budget and rate-limit guardrails

    Deploying rate limits, semantic caching, and hard billing alerts to avoid API runaways.

  • 3

    2-week hardening engagement

    Vulnerability testing against prompt injection attacks, system bypasses, and data extractions.

  • 4

    Evaluation Suite

    Automated test suites to verify model compliance and answer quality under load.

Risk & Security

Copilot Governance & Hardening

Outcome: Wrap your AI deployments with controls for access, usage, rate limits, privacy, and compliance.

Audit, secure, and harden AI tools with controls for access, usage, rate limits, privacy, and compliance. We audit existing configurations, insert cost-containment proxy layers, and construct custom vulnerability test suites before you roll out tools to the broader team.

Target Audience

Compliance officers and engineering directors in Microsoft 365 and Azure-heavy environments hesitant to roll out AI tools due to data leakage or runaway API costs.

Timeline & Investment

2 Weeks — Fixed Scope Audit & Setup

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Developer Velocity

AI DevOps & PR Review Automation

Outcome: Reduce engineering review latency with custom AI-assisted pull request and workflow automation for Azure DevOps and GitHub.

Reduce engineering review latency with custom AI-assisted pull request and workflow automation for Azure DevOps and GitHub. Integrate specialized, secure AI agents directly into your GitHub or Azure DevOps pipelines to catch linting issues, styling inconsistencies, structural security risks, and logic gaps within minutes of PR submission, freeing up senior developers.

Target Audience

Engineering teams with high pull request volume in Microsoft 365 and Azure-heavy environments looking to automate code reviews.

Timeline & Investment

3 Weeks — Fixed Scope Custom Integration

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What We Deliver

  • 1

    Automated pull request review

    Automated serverless functions triggered on pull request creation and updates.

  • 2

    Security and quality review bots

    Tailoring review agents to check for your specific architectural and styling constraints.

  • 3

    3-week custom workflow integration

    Agents comment directly inline in Azure DevOps or GitHub with specific file/line contexts.

  • 4

    Release Notes Generator

    Automatically compiles PR histories into clean, auditable changelogs on merge.

Is EventArgs LLC a Good Fit?

We work best with companies that match specific architectural and business profiles.

Ideal Fit

  • You use Microsoft 365 and Azure-heavy environments extensively.
  • Your documentation is scattered, but readable and text-based (no paper scanning required).
  • Your developers spend significant time reviewing repetitive PR cycles or release tasks.
  • You require strict data privacy, isolated model hosting, and traceable citations.

Bad Fit

  • You need high-level "AI strategy slides" without any codebase execution.
  • You want to build public customer-facing support bots without human guardrails or safety nets.
  • Your documentation is unstructured image scans, un-OCR'd files, or handwritten logs.
  • You require offshore rates or junior staffing; we are a senior-led engineering consultancy.