Mauldin & Jenkins × noboxAI

Value Discovery Briefing — Google Workspace Gemini Enterprise Enablement
Prepared by: Jonathan Gatlit & Skip Blankley For: Benjamin Ellis (CIO) & Brandon Smith Date: March 20, 2026
Context: M&J has executed 3 mergers in 12 months. New CIO Benjamin Ellis (7 weeks in role) has a mandate to modernize. Google Workspace Gemini Enterprise is underutilized firm-wide. This briefing frames the discovery conversation.

Where M&J Stands Today

800+
Professionals
19+
Offices
3
Mergers in 12 Mo
$120M+
FY24 Revenue
7 wks
CIO Tenure
M&J Merger Timeline & Integration Challenge

      
Key insight: The Prinzo Group acquisition (Jan 2026) is a government technology consulting firm. M&J is building technology advisory as a revenue line — they don't just consume tech, they sell it. Benjamin Ellis was hired to be the architect of this transformation.

Five Pressure Points to Surface

These are hypothesized pain points based on firm profile, industry data, and CIO mandate. The discovery call will confirm which resonate most strongly with Ellis.

Pain Signal
Post-Merger Platform Fragmentation
Value Response
One platform with AI built in — no new tools, no new vendors
Metric frame: Weeks to unified workflows vs. months of multi-platform management
Pain Signal
CPA Talent Shortage — Can't Hire Fast Enough
Value Response
Every professional gets an AI assistant — multiply capacity without headcount
Metric frame: Hours reclaimed per professional per week
Pain Signal
Administrative Burden on Billable Professionals
Value Response
Gemini handles non-billable work — your people bill more hours
Metric frame: % increase in billable utilization across service lines
Pain Signal
New CIO Needs Quick Wins (First 90 Days)
Value Response
Visible adoption metrics in 30 days. Measurable ROI in 90.
Metric frame: Adoption rate and time-to-value as CIO performance proof
Pain Signal
Competitive Gap vs. AI-Forward Firms
Value Response
KPMG hit 90% Gemini adoption in 2 weeks. Your people deserve the same.
Metric frame: Adoption velocity vs. industry benchmarks (Top 20 firms)

Pain → Capability → Proof → ROI

Each pain point maps to a specific Gemini capability, backed by industry proof, with a measurable ROI frame. Follow the thread that Ellis responds to most strongly.

Value Discovery Flow

      

Call Framework & Discovery Questions

60-minute structure. Lead with empathy for the merger integration challenge. Ask, don't prescribe. Follow the pain signal.

Call Flow — 60 Minutes

      

Priority Discovery Questions

Pick 6-8 based on where the conversation goes. The category labels help you navigate on the fly.

Platform State
"How are the teams from LaPorte, BGC, and Prinzo currently collaborating? Same tools or different ecosystems?"
Surfaces the fragmentation reality. If they're on 3 different platforms, Workspace unification is the entry point.
Platform State
"What's the current Google Workspace license situation? Is Gemini Enterprise activated across all offices?"
Confirms our assumption about underutilization. If not activated, the opportunity is even larger.
Workflow Pain
"What are the top 3 tasks your professionals spend time on that they wish they didn't?"
Opens the door to admin burden. Let Ellis name the pain — it's more powerful when he says it.
Workflow Pain
"How does document collection from clients work today? What percentage of time goes to chasing?"
Document chase is the #1 workflow pain in accounting firms. Gemini in Gmail + Drive can auto-classify and flag missing items.
AI Readiness
"Has there been any formal AI training or enablement across the firm?"
If no — we're the first. If yes — we build on what exists. Either way, we calibrate.
AI Readiness
"Are people experimenting with AI tools individually? Which ones?"
Shadow AI usage signals demand without governance. Positions our enablement as the safe, managed alternative.
Strategic
"What are your top 3 technology priorities for the next 6 months?"
The answer shapes our entire proposal. If AI isn't in the top 3, we need to understand what is — and whether we can attach to it.
Strategic
"The Prinzo acquisition brought government tech consulting. Is building technology advisory as a revenue line part of your vision?"
Shows we did our homework. If yes, our capabilities serve both internal efficiency AND M&J's client-facing tech practice.
Measurement
"What would success look like for an AI enablement initiative — utilization rates, time savings, client satisfaction?"
Gets Ellis to define the win condition. We build our proposal around his answer.
Decision Process
"If this looked promising, what's your process for bringing in a partner? Who else would need to weigh in?"
Maps the decision chain. Essential for deal velocity — we need to know if managing partner approval is needed.

Market Proof & Competitive Context

9% → 41%
AI Adoption (1 Year)
77%
Firms Increasing AI Spend
135K
Open CPA Positions/Year
90%
KPMG Gemini Adoption
Industry AI Adoption Momentum

      
Competitive risk: If Microsoft 365 Copilot comes up, our response: "Switching platforms during a 3-firm merger integration would create more chaos, not less. The smartest move is to maximize the platform you're already on."

Proposed Approach: Assess → Pilot → Scale

Not a product pitch — an enablement partnership. We help M&J extract maximum value from the platform they already own.

Phase 1 — Assess (2-3 Weeks)

Utilization Audit & Pilot Design

  • Audit current Workspace utilization across offices
  • Interview 8-12 professionals across service lines
  • Identify highest-impact groups for pilot deployment
  • Map Gemini capabilities to M&J-specific workflows
Deliverable: Assessment Report + Pilot Design Document
Phase 2 — Pilot (4-6 Weeks)

Targeted Enablement Deployment

  • Deploy Gemini enablement in 1-2 target groups
  • Custom use-case playbooks (audit, tax, advisory, admin)
  • Hands-on workshops — not slide-based training
  • Weekly adoption check-ins and friction removal
Deliverable: Adoption Dashboard + Time Savings Report
Phase 3 — Scale (Ongoing)

Firm-Wide Expansion & Advanced Capabilities

  • Expand from pilot to firm-wide based on proven results
  • Advanced use cases: custom AI agents, workflow automation
  • Quarterly optimization reviews and ROI reporting
  • AI governance framework and policy support
Deliverable: Continuous ROI Reporting + Optimization Roadmap
Engagement Lifecycle

      

Call Objectives & Follow-Up

Minimum Viable Outcome

Ellis understands what we do, sees relevance to his challenge, and agrees to a follow-up conversation or assessment proposal.

Ideal Outcome

Ellis shares his top 3 priorities, confirms Workspace/Gemini underutilization, and asks us to scope an assessment engagement.

Stretch Outcome

Ellis identifies a specific pilot group, shares budget parameters, and wants a proposal within the week.

Post-Call Actions

ActionOwnerTimeline
Send thank-you + recap email to Ellis and BrandonSkipSame day
Document all discovery findings and pain signalsJonathanSame day
Draft assessment proposal (if greenlit)JonathanWithin 48 hours
Schedule follow-up callBrandon (coordinate)Within 1 week
Update vault entities with call outcomesJonathanSame day