Salesforce-native AI Agents on Agentforce. Built lean — designed to use AI where it counts.
"Every AI pitch assumes my team will do the setup. They won't. That's why I need AI in the first place."
VP Sales, manufacturing
"We need to see it run on our data. Every demo we've seen runs on the vendor's."
Sales Transformation lead, industrial
When software moved to the cloud, engineering teams learned fast — every API call, every gigabyte, every CPU cycle had a cost, and they got disciplined about it. Sales AI is going through the same shift. Most agents on the market are conversational by default: they ask clarifying questions, fire write events on every record they touch, return verbose output. Salesforce charges by action; the LLMs charge by token; the bill compounds.
ARPEDIO's agents are built differently. The Org Chart and Relationship Matrix agents read your Salesforce data in a single pass, ground the output in your activity history, and write back a structured result — without firing chargeable action events. The Sentiment and Next-Best-Action agents use standard Agentforce consumption at Salesforce's published rates, but only where the LLM call earns its keep. No separate ARPEDIO AI surcharge. Global industrial customers already ask us how we do this.
ARPEDIO's AI Agents read your team's Salesforce-captured emails and calls, scoring stakeholder sentiment over time. Every relationship gets a trend line — warming, cooling, stalled — nobody had to build manually. When sentiment drops on a key influencer, the agent surfaces it with a coaching note: "John's responses are getting shorter — consider a personal check-in." Real activity data, not prediction models.
Responses are getting shorter. Sentiment dropped 38% since December. Consider a personal check-in from the account lead.
The AI reads your MEDDPICC assessments, account plans, and relationship data — then tells each rep what to do next. "Call the Economic Buyer this week." "Document the Pain statement — it's missing." "John's sentiment is cooling — re-engage through Sarah." Grounded in your methodology, not hallucinated. Every rep gets coached on every deal, not just the top performers. Managers see what's suggested, taken, or skipped.
Built on Salesforce Agentforce. Listed on Agent Exchange — Salesforce's curated AI marketplace. Security-reviewed by Salesforce. Shipped as an ISV-managed package, running inside your Salesforce instance — not plugging in from outside. Not beta. Not pilot. Production deployment, today.
ARPEDIO's AI Agents don't replace your methodology — they do the work that makes it possible. Org charts maintained from activity data. Sentiment read from actual conversations. Next steps drawn from your MEDDPICC assessments and account plans. The agents prepare the ground; your team does the judgment work — which relationships to invest in, which deals to chase, which plays to run. AI for what can be automated. Humans for what matters.
Three tiers, one platform
ARPEDIO's AI Agents run across the three tiers of the Salesforce-native platform — Opportunity Management, Account Management, and Strategic Account Management. One data model, one security architecture, one source of truth.
Methodology-derived deal scoring and a leadership heat map that turns the weekly 1:1 into action.
Explore MEDDPICC →Stakeholder intelligence for enterprise accounts. AI-built org charts, relationship matrices, activity timelines.
Explore Relationship Mapping →Native Salesforce account plans, SWOT, and white-space analysis — multi-year governance for your most strategic accounts.
Explore Account Planning →Org chart and relationship matrix agents serve Account Management. Sentiment agents read across Account and Strategic Account work. Next-best-action agents coach Opportunity Management and account plan execution. One agent layer. Every tier.
An AI Agent is software that takes sales-team work and does it autonomously — builds your stakeholder org charts, reads your customer conversations, suggests your next action. Not a chatbot waiting for prompts. Not a feature inside a dashboard you'd still have to interpret. Agents read the data in Salesforce, do the work, and write the result back into records your team uses.
ARPEDIO's AI Agents run on Salesforce Agentforce — Salesforce's agent platform — as a Salesforce-native ISV extension. Einstein is Salesforce's prediction and forecasting AI; it continues to work alongside. ARPEDIO's agents focus on specific account-based selling jobs — org chart generation, stakeholder sentiment, next-best-action coaching. The autocreation agents (org chart, relationship matrix) are designed to read Salesforce data in a single pass without firing chargeable action events. The sentiment and next-best-action agents use standard Agentforce consumption at Salesforce's published rates. The two layers complement each other.
The agents read contact records, account records, and activity data in Salesforce — emails, calls, meetings, and notes captured against opportunities and accounts. Richer activity data produces better output: fuller org charts, more accurate sentiment, sharper next-best actions. If your Salesforce instance has sparse activity data today, the agents still run — output improves as your team's interactions accumulate in the system.
Yes. Einstein Activity Capture is the most common source of the email and meeting activity data ARPEDIO's sentiment and org chart agents read. If you use a different activity-capture integration — Salesforce Inbox, Outreach, or a custom connector — the agents work with those too, provided the activity data lands on the contact and account records.
Two architectures. The autocreation agents (Org Chart, Relationship Matrix) are designed to read your Salesforce data in a single pass — grounded in your activity history, no chargeable action events fired. The Sentiment and Next-Best-Action agents use standard Agentforce consumption at Salesforce's published rates. No separate ARPEDIO AI surcharge. No per-seat AI add-on from us. Customers need a Salesforce agent license and flex credits enabled to run any Agentforce agent. Salesforce's billing structure may evolve; our agents are designed throughout to use AI sparingly, and we advise global industrial customers on agent cost-efficiency.
In production. The agents are deployed inside live Salesforce instances at enterprise customers including Perstorp. Listed on Salesforce's Agent Exchange (the curated Agentforce marketplace) and security-reviewed by Salesforce. Not beta. Not pilot.
The agents are grounded in your Salesforce data and your methodology — MEDDPICC assessments, account plans, relationship scores, activity records. Recommendations draw from what's in the system, not from a foundation model's general knowledge. When the data is thin, the agent says so ("Not enough activity on this account to assess sentiment"). The agents surface suggestions; your team makes the judgment calls.
The adoption question flips with AI Agents. Rather than asking reps to do more work (enter data, run reports), the agents do work your team wasn't doing anyway — maintaining the org chart, reading stakeholder sentiment, synthesizing MEDDPICC next steps. Reps see the output as something they didn't have to build, delivered where they already work — opportunity records, account pages, heat maps.
See ARPEDIO's AI Agents running on Salesforce — a recorded 5–7 minute walkthrough, no form to fill in.