Agentic Enterprise: Agentforce, Claude and Snowflake
Four agents work one account, Omega Inc. Salesforce Agentforce reasons over CRM data and reads product telemetry live from Snowflake without copying it. Claude writes the briefs, emails and account plans through Prompt Builder and answers analytics questions inside Snowflake as a Cortex agent. The account score comes from the scoring agents on the lifecycle dashboard. Fictional data.
The renewal signal
Cumulative credits this term against the 60,000-credit contract. Dashed: the current run rate of 202 credits a day.
What is growing and what is not
Monthly credits by workload. AI is taking off. Data Science and ML is falling while the ML team evaluates another platform.
What to sell next
Use cases that technology peers run live and Omega does not, from V_USE_CASE_RECOMMENDATIONS in Snowflake. Case studies are found with Cortex Search.
| # | Use case | Peers live | Peers | Credits a year | Weeks to value | Case study |
|---|---|---|---|---|---|---|
| 1 | Predictive Lead and Account Scoring Pipeline conversion up 12 to 20 percent; reps work the right accounts first | 4 | Helix Software, Northwind Analytics, Pinecrest Labs, Quanta Systems | 9,100 | 6 | Pinecrest Labs scores leads and flags churn with a two-person team |
| 2 | Revenue Forecasting and Pipeline Analytics Forecast error down about 30 percent; one number for sales and finance | 2 | Northwind Analytics, Quanta Systems | 7,900 | 8 | Quanta Systems gets one forecast for sales and finance |
| 3 | Customer Churn and Expansion Prediction Gross retention up 2 to 4 points; earlier save plays | 2 | Helix Software, Pinecrest Labs | 6,800 | 8 | Summit Insurance lowers policy lapse with churn prediction |
The four agents
Sales Strategy Assistant
Agentforce employee agentAgent Script- Briefs the rep with a Claude-written summary grounded in CRM and live telemetry
- Reads consumption through the Snowflake SQL API
- Asks Snowflake's Cortex agent ad hoc questions
- Recommends use cases with peer proof
- Drafts outreach; the rep sends
- Routes pricing to Deal Desk, never quotes it
Account Plan Autofill
Record-triggered flowPrompt Builder- One click creates the plan
- Grounds it in Snowflake once, saves the exact data used
- Claude drafts trends, use cases, landscape, SWOT and vision
- Fills in section by section, then notifies the owner
Support Intake Agent
Agentforce service agentCortex Search- Verifies the customer by email
- Answers only from knowledge articles in Snowflake
- Opens routed cases: tier A plus high severity goes to Tier 2
- Sends pricing questions to the account team
Observability and audit
Agent Audit LogSnowflake query history- Every action logged with source, latency and guardrail
- Snowflake query Ids tie each answer to the exact read
- Fallbacks to cached data are labelled
- Feedback captured in the same table
How it fits together
Salesforce
- Agent Script agents and Apex actions
- Prompt Builder templates on Claude, through the Einstein Trust Layer
- Named credential with a Snowflake programmatic access token
- Custom objects: Account Plan, Consumption Snapshot, Agent Audit Log
Snowflake
- Telemetry, contracts and peer adoption tables
- Views the agents read, as a read-only service user
- Cortex Search over case studies and the support KB
- Semantic view and a Cortex agent on claude-sonnet-4-6
- Cortex Code (CoCo) for analysts in Snowsight
Hugging Face
- The scoring agents' lifecycle dashboard
- The model history behind the CRM tier: every version, its gates and who approved it
- This page and the demo dataset
Conversations
AE sales strategy: brief, telemetry, warehouse drill-down, next play, outreach, guardrail, account plan (live org)
EXECUTIVE BRIEF: OMEGA INC.
Snapshot
Omega Inc. is a 4,200-employee B2B SaaS company in San Francisco with CRM tier A and a score of 94.3 out of 100. The contract renews on December 19, 2026.
What the telemetry says
- Trailing 12 months: 63,570 credits consumed, up 62.4% year over year. Last 90 days up 10.6% versus prior 90. Data is live from Snowflake as of September 24, 2026.
- Contract: 60,000 credits per year. Used 49,913 credits so far, or 83.2% of capacity. Run rate is 73,607 credits annualized. Capacity projected to run out around November 14, 2026, 35 days before term end.
- Fastest growing workload: AI (Cortex) up 282% in the last 90 days. Declining workload: Data Science & ML down 28%.
Why it matters
- The renewal opportunity of $540,000 closes December 15. Procurement requested a proposal by October 31 with a single number for FY27 capacity. The consumption trajectory supports expansion.
- Chris Post raised frustration with manual lead routing in the September 10 QBR. Priya Raman wants AI in production by FY27. The 282% growth in AI workload confirms momentum for the copilot production rollout opportunity.
Recommended next play
Propose Predictive Lead and Account Scoring (UC01) to Chris Post. Four industry peers run it live: Helix Software, Northwind Analytics, Pinecrest Labs, and Quanta Systems. Peer outcomes include pipeline conversion up 12 to 20 percent and time to value of 6 weeks.
Risks to watch
- Data Science & ML consumption fell 28%. Alicia Gomez is evaluating a separate ML platform for training workloads.
- Warehouse queuing during month-end close remains open at high priority. Marcus Lee raised it as a concern.
- AI copilot pilot closes November 30 at 20% probability. Production decision follows the October pilot review.
Signals:
Expansion: They will exceed their contracted credits before term end, supporting a renewal and expansion conversation.
Adoption: AI (Cortex) workload grew 282% in the last 90 days.
Risk: Data Science & ML workload fell 28%, which may indicate interest in a competing ML platform.
Source: Live data from the Snowflake SQL API as of September 24, 2026.
Would you like a recommended use case to pitch, a draft outreach email, or an account plan for Omega?
The Snowflake Cortex agent is not available on this account right now, so this answer comes from one governed SQL statement over the same telemetry, through the SQL API.
Omega Inc., AI (Cortex), credits by warehouse and month (2026-09 is month to date through 2026-09-24):
- AI_WH (AI (Cortex)): 2026-03 50.6 | 2026-04 119.3 | 2026-05 196.2 | 2026-06 362.2 | 2026-07 627.0 | 2026-08 882.8 | 2026-09 812.5
Finding: AI_WH drives the growth, from 50.6 credits in 2026-03 to 882.8 in 2026-08 (1645 percent).
Would you like recommended next use cases, a draft outreach, or an account plan?
Predictive Lead and Account Scoring (UC01)
Why it fits: Omega's AI workloads are up 282% and Chris Post wants AI in production. This use case aligns with their current growth and stated goals.
Peer adoption: 4 industry peers (Helix Software, Northwind Analytics, Pinecrest Labs, Quanta Systems) run it live.
Results: Pipeline conversion up 12-20%, reps work the right accounts first, time to value is about 6 weeks.
Case study: Northwind Analytics moved from manual lead scoring to a data platform model, raising lead-to-opportunity conversion by 18% and ending spreadsheet workarounds.
Prerequisites: CRM history with outcomes and product usage telemetry.
Estimated footprint: 9,100 credits per year.
Revenue Forecasting and Pipeline Analytics (UC02)
Why it fits: Omega's growth requires accurate forecasting for sales and finance alignment.
Peer adoption: 2 peers (Northwind Analytics, Quanta Systems).
Results: Forecast error down about 30%, one forecast for all teams, time to value is about 8 weeks.
Case study: Quanta Systems unified sales and finance forecasts, reducing forecast error by 32% and shortening forecast calls.
Prerequisites: Opportunity history, consumption, and billing data.
Estimated footprint: 7,900 credits per year.
Customer Churn and Expansion Prediction (UC03)
Why it fits: With rapid growth, retention is key. This use case helps flag churn and expansion opportunities earlier.
Peer adoption: 2 peers (Helix Software, Pinecrest Labs).
Results: Gross retention up 2-4 points, earlier save plays, time to value is about 8 weeks.
Case study: Helix Software used usage and support data to predict churn, raising gross retention by 3 points.
Prerequisites: Usage telemetry, support cases, contract data.
Estimated footprint: 6,800 credits per year.
Would you like a draft outreach email to Chris Post or an account plan for Omega?
Subject: Predictive lead scoring for Omega
Hi Chris,
Thank you for the time at the QBR on September 10. You mentioned your team still routes leads manually and asked how peers score leads and forecast consumption.
Predictive Lead and Account Scoring addresses this directly. Four peers in your industry run it live: Helix Software, Northwind Analytics, Pinecrest Labs and Quanta Systems. Pipeline conversion typically increases 12 to 20 percent because reps work the right accounts first.
Northwind Analytics moved from hand-set rules to a model on the data platform. CRM history and product usage sit in one place. Scores and the top three reasons write back to the CRM every night. Lead-to-opportunity conversion rose 18 percent within two quarters and reps stopped maintaining their own spreadsheets.
The workload combines your CRM history with product usage telemetry. Time to value runs about six weeks.
Can we schedule a 30-minute working session to walk through the approach and build a plan for Omega? You can book directly here: [scheduling link].
Daniel
Would you like any changes to this draft? If it looks good, I can save it for your review and sending.
Would you like to see consumption data that supports the renewal, or help with another account?
You can open the plan at [Omega Inc. FY27 Account Plan].
Would you like to check the plan status or need help with anything else for Omega?
Support intake, tier A customer: verify, Snowflake knowledge, Tier 2 by CRM tier, pricing guardrail (live org)
Schedule batch jobs outside business hours if possible.
Give finance dashboards their own multi-cluster warehouse.
Set the warehouse to a minimum of 1 and a maximum of 3 to 5 clusters with the Standard scaling policy.
Use result caching for repeated reports.
Split heavy batch jobs onto a separate warehouse so dashboards are not blocked.
If queries are still queuing, check the queued time in query history.
Consider query acceleration for large scans.
If these steps fix the issue, let me know and I will log it as resolved. If not, tell me what you tried and I can open a case for deeper help.
Was there anything else about your finance dashboards or other systems you wanted to discuss today?
Is there anything else I can help with while you wait?
Support intake, tier D customer: same severity, routed to Tier 1 (live org)
Confirm your SCIM integration is active and its token has not expired.
Make sure group-to-role mapping only applies to groups pushed by SCIM.
Push the group again from your identity provider.
Assign roles for SCIM-managed users in your identity provider, not manually in the platform.
Support cannot change user roles for you. Did these steps help resolve the issue?
Is there any other detail about the impact or user experience you want included in the case? If not, you are all set and we will keep you updated.