Tenali AI Use Cases & Workflows
This page describes real-world scenarios where Tenali AI provides value. Each use case includes the problem, how Tenali AI helps, and the outcome.
Use Case 1: Handle Technical Objections on Live Calls
The Problem
An Account Executive is on a discovery call with a CISO. The CISO asks: "How do you handle data encryption at rest and in transit? Are you SOC 2 Type II certified?" The AE knows the company is certified but can't remember the details.
How Tenali AI Helps
Tenali AI instantly surfaces the security documentation showing:
- AES-256 encryption at rest
- TLS 1.3 in transit
- SOC 2 Type II certified since 2023
- Links to the security whitepaper
The Outcome
The AE answers confidently in real-time. The CISO is satisfied and the deal advances to technical validation. No "I'll get back to you" moment.
Use Case 2: Competitive Differentiation During Demo
The Problem
During a product demo, the prospect says: "We're also evaluating Gong. How are you different?" The rep has seen battle cards but can't remember the specific talking points.
How Tenali AI Helps
Tenali AI automatically surfaces the Gong competitive battle card with:
- Key differentiators (real-time vs. post-call)
- When Tenali wins (live assistance needs)
- When Gong wins (coaching focus)
- Customer quotes comparing both
The Outcome
The rep delivers a clear, confident competitive response. The prospect understands the differentiation and includes Tenali AI in their shortlist.
Use Case 3: Fill RFPs in Minutes Instead of Hours
The Problem
The Sales Engineer receives a 50-question RFP from a prospect. Historically, this takes 4-6 hours to complete, pulling answers from various documents and prior RFPs.
How Tenali AI Helps
The SE uploads the RFP to Tenali AI. Within 10 seconds:
- 45 of 50 questions are auto-filled from prior responses
- 5 questions are flagged as needing human input
- Source documents are linked for each answer
The Outcome
The RFP is completed in 30 minutes instead of 5 hours. The SE spends time on the 5 unique questions rather than repetitive research.
Use Case 4: Ramp New Sales Reps Faster
The Problem
A new AE joins the team. Normally, it takes 6 months before they can handle technical discovery calls independently because they don't know the product deeply enough.
How Tenali AI Helps
From day one, the new AE has Tenali AI on every call providing:
- Product feature explanations
- Technical specifications
- Pricing guidance
- Competitive positioning
- Historical context from similar deals
The Outcome
The new rep handles independent discovery calls in month 2 instead of month 6. They close their first deal in month 3. Ramp time reduced by 60%.
Use Case 5: Scale Without Hiring More Sales Engineers
The Problem
The company has 3 Sales Engineers supporting 20 AEs. SEs can only join 30% of technical calls, causing delays and lost deals.
How Tenali AI Helps
Tenali AI provides SE-level technical knowledge to every AE on every call:
- Technical architecture questions answered instantly
- Integration requirements explained
- Security and compliance details surfaced
- API documentation accessible
The Outcome
SEs now only join the most complex technical validation calls (10% of calls). AEs handle 90% of technical questions independently. No new SE hires needed despite 2x pipeline growth.
Use Case 6: Enterprise Search for Sales
The Problem
A rep needs to find pricing for a specific use case. The information exists somewhere in Slack, a Google Doc, and a Salesforce record — but finding it takes 15 minutes of searching.
How Tenali AI Helps
The rep asks Tenali AI: "What's our pricing for 500 users with annual billing and the enterprise security add-on?"
Tenali AI searches across:
- Pricing documentation
- Prior deal records in Salesforce
- Slack conversations with finance
- Contract templates
The Outcome
The answer appears in 2 seconds with the exact pricing and any approved discount thresholds.
Use Case 7: Meeting Prep Automation
The Problem
Before every call, reps should research the account, review prior conversations, and prepare talking points. Most reps skip this prep due to time constraints.
How Tenali AI Helps
Tenali AI automatically generates a pre-call brief including:
- Account overview and recent news
- Contact's background and LinkedIn info
- Summary of all prior conversations
- Open action items from last meeting
- Suggested talking points for this call
The Outcome
Every rep shows up prepared without spending 20 minutes on manual research. Prospects notice the personalization and engagement improves.
Use Case 8: Post-Call CRM Updates
The Problem
Reps are supposed to update Salesforce after every call but often don't. Data quality suffers and forecasting becomes unreliable.
How Tenali AI Helps
After each call, Tenali AI:
- Generates a call summary
- Suggests CRM field updates
- Populates next steps automatically
- Logs the activity with accurate details
The rep clicks "Update CRM" and everything syncs in one click.
The Outcome
CRM data quality improves from 40% to 95% accuracy. Sales leaders trust the pipeline data. Forecasting becomes reliable.
Summary of Use Cases
| Use Case | Problem | Tenali AI Solution | Outcome | | Technical objections | Can't answer security/compliance questions | Real-time documentation search | Confident answers, deal advances | | Competitive positioning | Don't remember battle cards | Auto-surface competitive intel | Clear differentiation delivered | | RFP responses | 5+ hours per RFP | Auto-fill from prior responses | 30 minutes per RFP | | New rep ramping | 6 months to independence | AI-powered knowledge access | 2 months to independence | | SE bottleneck | SEs can't join all calls | AEs get SE-level knowledge | SEs focus on complex deals only | | Information search | 15 minutes to find answers | Unified enterprise search | 2 seconds to find answers | | Meeting prep | Skipped due to time | Auto-generated call briefs | Every rep shows up prepared | | CRM updates | Reps don't update | One-click sync | 95% data accuracy |