Apromore Blog

Stop Automating Chaos: What We Unveiled at Dreamforce with Apromore + Agentforce

Written by Apromore | Oct 6, 2026, 7:30:48 AM

At Dreamforce, the headline was loud and clear: the era of Agentic AI has arrived. But across keynotes, breakout rooms, and theater sessions, one operational truth kept taking center stage: You cannot automate what you don't understand.

Deploying sophisticated AI agents on top of unmapped, friction-heavy workflows doesn't fix operational inefficiency—it accelerates chaos. When agents are pointed at broken or ambiguous processes, they improvise. And in the world of Enterprise AI, improvisation leads directly to hallucination.

Here is a recap of how Apromore took center stage at Dreamforce as Salesforce’s process optimization layer—showing how enterprises can map real workflows, simulate ROI risk-free, and build truly process-aware AI agents.

The Elephant in the Room: Why 2 out of 3 AI Projects Fail

A recent study by BCG revealed a stark reality: 2 out of 3 organizations struggle to deliver measurable ROI from their AI investments.

The bottleneck isn't the LLMs, the trust layers, or even data access. The problem lies below the waterline: people and processes. Enterprise AI today is making the exact same mistake RPA made five years ago—jumping the gun and attempting to automate tasks before understanding how the end-to-end process actually operates.

Traditional discovery workshops rely on interviews and sticky notes. But manual interviews only reflect perceived reality. In practice, a process that looks like a straight line on paper actually branches into hundreds—or thousands—of unmapped exceptions and "swivel-chair" work happening outside core systems.

Your system data, however, doesn't lie.

Unveiling the Next Era: Faster, Ubiquitous, and Deeper Process Optimization

In a joint session with Rahul Auradkar (President & GM for Data 360) and Marcello La Rosa (GM of Intelligent Process Optimization), showcased three major innovation leaps designed to turn raw transactional data into agentic execution:

1. Faster Optimization: Native on Data 360

Apromore now rests natively upon Data 360, acting as the underlying foundation for process intelligence across the Salesforce ecosystem.

  • Connect seamlessly across Sales Cloud, Service Cloud, and Industry Cloud.

  • Ingest data from 3rd-party ERPs like SAP, Oracle, and Pega.
  • Leverage Zero Copy integration to index process data directly inside Snowflake, Databricks, or GCP without transferring data.

2. Ubiquitous Optimization: Headless & MCP-Ready

Process intelligence is no longer locked inside a standalone silo. Exposed via Model Context Protocol (MCP) and agent-to-agent (A2A) capabilities, Apromore capabilities can run ubiquitously on every surface wherever you work. You can query your processes, identify bottlenecks, trigger root cause analysis and simulate optimizations directly inside Agentforce Coworker, Slack, or your custom UI.

3. Deeper Optimization: Making Agents Process-Aware

Data 360 acts as Salesforce's real-time context engine. By enriching Data 360's customer context with Apromore’s process context, AI agents become process-aware and goal-oriented. They understand not just who the customer is, but the exact operational steps required to serve them while hitting KPI targets and staying within compliance guardrails.

Bridging the Blind Spots: Process Mining + Task Mining

To build a true Digital Process Twin, Apromore combines two complementary technologies:

  • Process Mining: Chases the digital footprints left behind in transactional event logs across ERPs and CRMs to automatically discover real process flows.
  • Task Mining: Deploys privacy-preserving sensors on user workstations to capture desktop "swivel-chair" activities—like approving offers in Outlook, checking PDFs in Adobe, or copying data from Excel.

By bridging system logs with desktop actions, Apromore exposes 100% of the end-to-end process, pinpointing bottlenecks, rework loops, and cost drivers.

Simulate Before You Deploy: Risk-Free ROI

Once bottlenecks are identified, Apromore’s AI recommendation engine proposes targeted interventions—such as automating specific tasks with Agentforce.

Because AI recommendations are probabilistic, Apromore pairs them with a fully deterministic simulation engine. Managers can test "what-if" scenarios before spending a single dollar or deploying an agent:

  • What if we automate document gathering with an Agentforce agent?
  • What if demand increases by 10% during peak season?
  • What if we reallocate 2 FTEs to a bottlenecked team?

Simulation predicts the exact impact on cycle times, operating costs, and SLA targets—giving executive teams a rock-solid business case backed by data, not gut feeling.

Customer Spotlight: How Leonardo Built a Center of Excellence in Aerospace

In a featured session, Marco Basilio (Head of Digital Services & Processes at Leonardo’s Aeronautics Division) joined Marcello La Rosa to share how one of the world’s premier aerospace and defense manufacturers modernized its supply chain and quality operations.

Operating in a highly regulated domain where changing a single screw requires rigorous re-certification, Leonardo needed data-driven precision rather than anecdotal guesswork.

The Center of Excellence (CoE) Model

Rather than relying permanently on external consultants, Leonardo established an internal Process Intelligence Center of Excellence, empowering functional business analysts with no-code tools.

Key Results Achieved by Leonardo:

  • Improvement in Data Reliability: Cleaning data sets to drive higher-precision decision-making.
  • Decreased the Quality Assurance Backlog: Using Apromore's simulation engine to optimize resource composition and clear operational bottlenecks.
  • Streamlined Logistics & Procurement: Eliminating unnecessary process paths and reducing lead times across complex aircraft maintenance workflows.
  • Overcoming the "Process Shock": Replacing subjective opinions with undeniable visual process maps—showing stakeholders the true complexity of their workflows and uniting teams around clear solutions.

The Flywheel of Continuous Optimization

Process intelligence isn't a one-time project; it’s a continuous flywheel:

  1. Measure: Discover actual workflows and identify friction points.
  2. Optimize & Simulate: Test agentic interventions and prove ROI risk-free.
  3. Automate: Push process skeletons directly into Agentforce Operations, Flow, or Stage Management.
  4. Monitor: Feed execution logs back into Apromore to continuously track performance and guarantee compliance.

Turn AI Experiments into Scalable Business Value

Dreamforce proved that the future belongs to Agentic Enterprises. But the path to successful automation starts with process clarity.

Whether you choose Apromore as a standalone platform, alongside Agentforce Operations, or as an add-on to Salesforce Core, you can turn raw data into actionable process optimization in days—not months.