AI Consulting

Practical AI for real workflows

We help businesses turn repetitive work into reliable workflows, with governance your IT team can keep. Start from a concrete job, ship a deliverable, then expand.

Discuss an AI project

Problems we solve first

Business owners recognize these faster than a product list. We pick one or two jobs that save time this quarter, then document who can use what.

Repetitive invoice entry

Pull fields from PDFs or email, validate against your rules, and hand off a clean draft, so finance spends time on exceptions, not typing.

Slow proposal drafting

Turn approved templates, past wins, and pricing notes into a first draft your team can edit, without pasting client data into a random chat window.

Hard-to-find internal information

Help people find the policy, SOP, or SharePoint/Drive answer with tenant-aware tools and clear limits on what must not leave the company.

What you walk away with

  • Two or three prioritized use cases with expected time savings
  • A working pilot in the Microsoft 365 or Google Workspace tenant you already pay for
  • Access rules: who can use what, and what data stays inside
  • Short training and notes for the people who will run it day to day
  • A decision on when a third-party or local model is the better fit

Who this is for

Leadership wants AI in the business. IT does not want another tool staff paste company files into. You already pay for Microsoft 365 or Google Workspace and want those tools to do useful work, with rules.

Engagement models

Advisory

Roadmap, tool selection, risk review, and executive-ready recommendations.

Implementation

Configure, integrate, test, and document the workflow, plus the access and retention rules around it.

Contracting

Embedded build capacity for defined sprints when you need delivery without a new hire.

Tools we work with

Vendor-neutral on purpose. We pick the stack that fits the workflow, data rules, and budget, not the loudest launch blog.

In your Microsoft or Google tenant
Microsoft Copilot and Google Gemini, wired to identity, licensing, and data you already trust.
Assistants and coding agents
Claude, Codex, Grok, Hermes, and OpenClaw for research, drafting, support workflows, and build help.
Local and private models
Local LLMs when data should stay on your network or in your cloud account, with clear limits on what leaves the building.
Automation
Power Platform, Apps Script, or APIs when the job is a handoff between systems, not a chat.

Cloud-native AI

We implement AI in the context of your Microsoft 365 or Google Workspace tenant so identity, licensing, and security stay aligned. When a local or third-party model is the better fit, we still document access, retention, and who owns the keys.

Ready to move from idea to a working workflow?

Share the repetitive job that costs the most time. We’ll suggest a practical first step.

Get in touch