Mycel Group.

Services / From possibility to useful work

AI implementation.
Across the work you do.

AI implementation, grounded in how businesses operate. Start with one recurring task, build it properly, then expand from what works.

A broader capability. A focused first step.

Four places to start.

Choose the work that matters most. These examples show what we can build; your proposal confirms the deliverables and a clear owner on your team.

01 / A shared foundation

AI Workspaces & Team Knowledge

Give your team and AI a shared understanding of the business, then turn that knowledge into practical guidance for everyday work.

What we can build
  • Shared AI workspace and approved reference documents
  • Reusable templates, SOPs and team guidance
  • Role, onboarding and training guides

02 / A clearer working day

Executive AI Assistants

Prepare for the day, make meetings useful, and keep follow-through visible with a supervised assistant built around the tasks you choose.

What we can build
  • Daily briefs, meeting prep and email drafts
  • Decision and action lists from approved notes
  • Configured tasks, permissions and review points

03 / Information into understanding

Reporting & Business Visibility

Turn your business information into a clearer view of performance, with a repeatable way to prepare and review the story behind the numbers.

What we can build
  • Business measures and dashboards
  • Brand-aligned report, presentation and PDF templates
  • Period summaries, variances and questions for review

04 / From request to response

Sales & Customer Workflows

Move from an incoming request to a useful, reviewed response, using the pricing, scope language and answers your business has approved.

What we can build
  • Proposal and quote drafts using approved pricing and scope
  • Customer intake summaries and follow-up drafts
  • Reusable answers and response templates
One foundation across the work

We agree the workflow, sources, access, and success criteria before setup. Training and handoff are part of every implementation.

Explore our method

Client roadmap

A clear path from conversation to handoff.

Start with a free conversation, followed by a $750 consultation and needs assessment. Further work is scoped in a proposal.

Explore the client roadmap

In practice / Illustrative workflows

A real workflow.
A clear human role.

Choose an example to see the inputs, useful outputs, and the decisions that stay with your team.

Example workflowIllustrative

The monthly business report.

THE PROBLEM

Every month, someone gathers the same kinds of updates and rebuilds the report from scattered information.

YOU PROVIDE

Checked figures, approved reference materials, and your reporting template.

AI PREPARES

A first draft in your template, with a period summary, variances to review, and open questions.

YOUR TEAM CONTROLS

Verify the figures, correct unsupported claims, review the layout, and approve the final version before sharing.

The standard across every service

Clear boundaries. Useful work.

Approved sources

Agree which materials and accounts the workflow can use, and what stays out.

Human review

Name the person who checks outputs and approves external actions or commitments.

Agreed acceptance

Test against real examples and agreed success criteria before training and handoff.

Confirmed connections

Verify platform fit, available connectors, permissions, and software costs during scoping.

Choose a focused starting point

One useful workflow. A clear scope.

We’ll discuss fit, deliverables, and responsibilities before any paid work begins.

Book a Conversation Explore the client roadmap
Mycel Group / Meet the founder

Founder, Mycel Group

Austin Barnhart

I bring an operator’s perspective to AI. The work comes first; the technology serves it.

01 / Operating background

Start with the business.

My background is corporate consulting and operational performance, with a focus on leadership, profitability and the mechanics of how work actually gets done. That experience shapes every question I bring to AI: What is the business trying to improve? Where does the work stall? What would let the team move with more speed and more confidence?

02 / Hands-on with AI

Learn by building.

I’ve spent years working with these tools directly: organizational models, operating dashboards, executive agents and assistants, documentation systems, and the workflows that connect them. That practice is where the judgment comes from. It’s how I know where the tools are reliable, where they need structure, and what it takes to turn a capable model into a dependable part of a business.

03 / How I work

Clarify the business. Then build the workflow.

I work across the leading AI platforms and stay neutral among them. The right tool follows your purpose, your existing systems, your budget and your information needs, not the other way around.

Every implementation begins with definition. Together we write a business canon for your approval: purpose, audience and value, operating principles, voice, quality standards, and the decision and approval rules that govern the work.

From that reference we build task-specific instructions and templates, test them against real examples, and refine together, keeping human judgment at the points where it matters.

What you keep is everything: the configured setup, the canon, reusable materials, documentation and training, all in accounts you own. We agree how the canon stays current, and any ongoing support is scoped before it begins.

Have a task that keeps coming back?

Talk through a first workflow