100% Salesforce Native · AppExchange
Your Service Team Burns $6,000 Every Day Reading Cases
Every call starts the same way: your reps scroll through case history, reading notes they didn't write, hunting for context that should take seconds. Multiply that across 100 reps and 40 calls a day, and the math gets ugly fast. GPTfy generates AI-powered case summaries in seconds - saving $1.2M per year.
$6,000
wasted per day on manual case reading
GPTfy ROI model, 100-rep scenario
12,000
minutes of rep time burnt daily
100 reps x 40 calls x 3 min each
22x
return - $55K investment vs $1.2M waste
GPTfy ROI model, annualized
Your reps spend more time reading than solving.
3 Min/Case

The time tax on every call

Before your rep says a word, they spend 3 minutes scrolling through case history, past notes, and email threads. Across 40 calls a day, that is 2 hours gone - per rep.

"There's a lot of stuff like that that's taking a lot of manual review right now, and just any way we can kind of automate that is something that would just save us a lot of man hours."- Sales Ops Leader, Retail Media / AdTech
$1.2M/Year

The cost multiplier nobody tracks

$6,000 per day sounds manageable. Over 200 working days, that is $1.2 million in annual waste - just on case reading. No new hires. No new tools. Just time draining out.

"Why should that cost you a couple of million dollars?"- Technical Architect, Fortune 500 Manufacturing
0 Solving

Time reading is time not resolving

Every minute your reps spend reading case history is a minute they are not resolving issues, building rapport, or reducing handle time. The cost is not just salary - it is outcomes.

"They should be focused on the customer more than data entry, so we are taking that out."- Sales Ops Leader, Retail Media / AdTech
The Math: Manual Case Summarization Cost
100
Reps
×
40
Calls/Day
×
3 min
Per Case
×
$30
Hourly Rate
÷ 60
$6,000
Wasted per day
12,000
Minutes burnt daily
$1.2M
Annual waste (200 days)
Run Your Numbers with the Interactive Calculator →
From $6,000/day to $275/day. Here's how.
Today
$6,000/day

Manual case reading. 3 minutes per case. 12,000 minutes of rep time burnt every day across 100 agents.

Turn On GPTfy

AI generates 120-word case summaries. Reps review in 1 minute instead of 3. Same context, 67% less time. No workflow changes.

Result
$275/day

80% time saved per case. AI costs $275/day vs $6,000/day manual. That is a 22x return on your investment.

How It Works
Live in days
Install from AppExchange

1-click, Salesforce security-reviewed managed package

BYOM
Connect Your AI Provider

OpenAI, Claude, Gemini - use your Azure, AWS, or GCP contracts

AI
Configure Summarization

Activate pre-built case summary prompt or customize your own

Go Live - Start Saving

Reps see AI summaries immediately. $275/day, not $6,000

The Math Behind $1M in Annual Savings
Invest $55,000. Eliminate $1.2M in waste. The ROI case writes itself.
Investment Breakdown - 100 Rep Scenario
GPTfy Licensing
100 reps at $20/month/agent
$20,000/yr
AI Provider (Azure OpenAI)
40 calls/day, 5,000 tokens each
$20,000/yr
Go-Live Implementation
One-time cost, annualized
$15,000/yr
Total Annual Investment
$55,000
Manual Cost
$6,000/day
$1.2M/year across 200 working days
With GPTfy
$275/day
$55K/year - all-in cost
Your Return
22x ROI
$1.145M in annual savings
Beyond Case Summarization - Where Else ROI Compounds
1

Service Cloud ROI

Turn every service interaction into a faster resolution and a better experience.
  • Case Summarization 120-word AI summaries replace 3 minutes of manual reading
  • Email-to-Case AI reads emails and attachments, extracts data, creates cases automatically
  • Response Drafts AI drafts contextual replies for agent review, cutting handle time
2

Sales Cloud ROI

Give every rep an AI briefing before every meeting, every call, every deal review.
  • Opportunity Summaries Full deal context in seconds, not 15 minutes of tab-switching
  • Account 360 Briefs Opportunities, cases, contacts, and activities in one AI-generated view
  • Pipeline Reports AI-powered forecasting insights across the entire funnel
3

Enterprise ROI

Avoid the hidden costs of ungoverned AI - compliance gaps, audit failures, shadow tools. GPTfy's agentic AI operates inside a zero-trust security model, so every action is logged and every data path is controlled.
  • Security Audit Record Every AI interaction logged with full prompt chain, response, and safety filters
  • 4-Layer Data Masking Field, regex, blocklist, and Apex masking before data reaches your AI provider
  • Built-In Dashboards AI Insights, Quality Insights, and ROI Dashboard ship out of box
"Even a small use case like that, I'm saving close to 4,000 to 5,000 minutes a day. Which is adding up pretty quickly, so it's pretty fascinating to see a small drop like that can do so much."
- CTO, Financial Services (Debt Collection)
Questions From CFOs, VP Ops, and IT Directors
FAQ
ROI
How is the $6,000/day figure calculated?
100 reps x 40 calls/day x 3 minutes per case x $30/hour = $6,000/day. That is 12,000 minutes of manual case reading every day, or $1.2M per year across 200 working days.
Licensing
What is included in GPTfy licensing?
Fixed per-user/month. Unlimited prompts, unlimited AI calls, 20+ pre-built prompts, 4-layer data masking, full audit trails, and three built-in dashboards. No consumption billing, no overages.
AI Costs
What about AI provider costs?
You pay your AI provider directly at your negotiated rates. In the 100-rep scenario, Azure OpenAI costs roughly $20,000/year for 40 calls/day at 5,000 tokens each. GPTfy adds no markup.
Deployment
How fast can we deploy case summarization?
GPTfy ships with 20+ pre-built prompts including case summarization. Activate in less than a day. Full deployment with custom prompts and AI model tuning takes up to three weeks.
Scale
What if we have more or fewer than 100 reps?
The math scales linearly. 50 reps = $3,000/day waste. 200 reps = $12,000/day. GPTfy licensing scales at a fixed per-user rate. AI provider costs scale with volume.
AI Models
Does this work with our existing AI provider?
Yes. Bring Your Own Model - OpenAI, Claude, Gemini, Perplexity, DeepSeek, Llama - 15+ models on Azure, AWS, or Google Cloud. Use your existing cloud contracts. Switch models without rebuilding.
Don't take our word for it. Make us prove it.
Our forward-deployed engineers work alongside your Salesforce admin and business team, in your org, with your data, on your real use cases. Case summarization is typically the first win - measurable ROI by week one.
"If there is a true moat that we can see with you guys, I don't have a problem in trying to deploy some of them in true production environments to see the value and actually live through it. I'm a more firm believer of trying to deploy pilots and seeing the value than just looking at presentations and making some sense out of it." - CTO, Financial Services
Run Your Numbers

Plug in your rep count, call volume, and hourly rate. See your annual savings in 60 seconds.

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