AI & Automation
Secure business AI—not a collection of prompts.
Your people are already using AI, usually without rules, and the company is getting little real value from it. We fix both: we find where AI genuinely saves hours, and put governance around it so your data stays yours.
Sound familiar?
Where most companies are today
“Our people use ChatGPT on personal accounts.”
“We banned AI—and the ban isn’t working.”
“We bought Copilot licenses and nothing changed.”
“We know we need AI. We don’t have a plan.”
Four phases
From experimentation to an operating capability
Every engagement starts with a paid assessment. It defines everything that comes after it.
Phase 1
Discovery & strategy
A readiness assessment that finds measurable value, safely.
✓ Leadership and department interviews
✓ Workflow mapping
✓ Security and compliance review
✓ AI opportunity matrix and quick wins
✓ 90-day roadmap and 12-month strategy
Phase 2
Governance & platform
The secure foundation: rules, approved tools and controlled access.
✓ AI acceptable use policy
✓ Approved platforms and data handling
✓ SSO and MFA integration
✓ Microsoft Copilot, ChatGPT Enterprise or Claude rollout
Phase 3
Implementation & automation
Put AI to work inside real business processes.
✓ Workflow automations
✓ Private knowledge assistants
✓ Department copilots
✓ Integrations with CRM, ERP and ticketing
Phase 4
Adoption & optimization
Most AI rollouts fail because nobody changes behavior. We stay with you.
✓ Training and AI office hours
✓ Governance reviews
✓ Usage reporting
✓ Quarterly AI strategy
Sample AI audit
See what an AI Discovery & Strategy engagement delivers
Excerpts from a sample report for a Northeast Ohio manufacturer. Names and figures are illustrative.
Excerpt 1 · Readiness assessment
AI readiness scorecard
Overall: 2.7 / 5 (Developing). Biggest gap: most staff already use AI tools, but there is no approved-tool list or AI policy.
Excerpt 2 · Opportunity register
Top opportunities, scored on value and effort
| Opportunity | Dept. | Hrs/mo | Phase |
|---|---|---|---|
| Quote & proposal drafting | Sales | 45 | Quick win |
| Invoice & PO data entry | Finance | 60 | 3–9 mo |
| Engineering document search | Engineering | 30 | Quick win |
| Customer service email triage | Service | 25 | 3–9 mo |
| Production schedule forecasting | Operations | TBD | 9–24 mo |
Excerpt 3 · Implementation roadmap
A phased plan leadership can fund
Excerpt 4 · Governance recommendations
Guardrails before rollout
- Adopt a one-page AI acceptable-use policy and an approved-tool list
- Classify data as public, internal or restricted; keep restricted data out of public AI tools
- Require human review of AI output before it reaches a client
- Connect approved tools to single sign-on so access can be removed in one place
- Review the tool list and policy every six months
The full report
Everything leadership needs to decide what’s next
✓ Executive summary and AI readiness assessment
✓ Department-by-department findings and process maps
✓ Technology stack and data-readiness review
✓ Full opportunity register, scored on value, effort, cost and risk
✓ Phased 90-day, 9-month and 24-month roadmap
✓ Governance, policy, training and change-management recommendations
Request the full sample report
We’ll email you the complete sample AI audit within one business day.
The AI operating system
A layered model for governed AI at scale
We start with policy and access control, then add knowledge, business agents and automation in a controlled progression—so every new capability inherits the security of the layer beneath it.
01
AI governance
Policies, data classification, standards, approvals and training.
02
AI platform
Approved models, identity, user experience and access.
03
Knowledge agents
Secure answers across SharePoint, Teams, OneDrive and your SOPs.
04
Business agents
Connected to CRM, ERP, accounting, ticketing and HR.
05
Department agents
Role-specific assistants for sales, service, finance and leadership.
06
Workflow automation
AI that triggers and completes business processes.
07
AI command center
Adoption, governance, performance and roadmap in one view.
Where AI pays off
Practical use cases by department
Sales
Proposal generation, CRM summaries, meeting notes and follow-up drafting.
Marketing
Content support, SEO assistance, campaign reporting and optimization.
Operations
Process automation, internal knowledge systems and workflow orchestration.
IT & service
Ticket summarization, SOP generation, documentation and alert analysis.
HR
Policy answers, onboarding assistants and internal knowledge search.
Leadership
Executive reporting, decision support and AI-assisted planning.
Start the partnership
Start with an AI Readiness Assessment
Find out where AI will actually save hours in your business—and what guardrails you need first.