AI Agents Negotiate. Your Salesforce Org Decides.

AI buyers are learning to shop at machine speed. Pardisio deploys an AI Seller Agent in your Salesforce org that responds automatically — with Agentforce enforcing your policies.

One tour. Two agents. Seven stages.
A human says “book me a Petra tour.” From that moment, two AI agents handle everything — discovery, pricing, negotiation, booking, and payment — inside your Salesforce org. Here’s what that looks like.
🔷 Gemini Buyer Agent
agent to agent
☁️ Pardisio Seller Agent
💡
Intent
🔷 → “Petra tour, 2 adults, mid-April, under $120 each”
The human tells Gemini what they want. Gemini queries your product catalog.
Automatic
🤝
Offer
☁️ → “Petra Explorer, Apr 14–17, $135/person, 6 seats, negotiation allowed”
Your seller agent checks availability, evaluates trust, and constructs the offer — not the buyer.
Automatic
💬
Negotiation
🔷 → “Counter: $100/person”
☁️ → “Counter: $115/person”
🔷 → “Accepted ✓”
Two agents negotiate — no human involved. Agentforce reasons through your pricing rules to counter-offer.
Agentforce
🔍
Agreement
☁️ → “Price locked: $115 × 2 = $230
Price locked. If the discount exceeds your threshold, Salesforce handles escalation.
Automatic
📋
Commitment
☁️ → “2 seats reserved. Hold: 30 min. Send payment.”
Seats locked with a time-limited hold. Prevents double-selling.
Automatic
⚙️
Execution
🔷 → payment token
☁️ → “$230 confirmed. Order created. E-ticket issued.”
Payment processed. Order, Invoice, and Opportunity created. E-ticket issued. Zero humans.
Automatic
💲
Settlement
🔷 → “Cancel booking”
☁️ → “>24h before departure = full refund. $230 refunded.
Cancellation policies evaluated. Refund processed. The full lifecycle — not just checkout.
Automatic
6 stages automatic — zero AI cost, pure Salesforce
1 stage Agentforce — intelligent negotiation
0 humans in the transaction loop
Sales Cloud only — Commerce Cloud optional
Tour: Petra Explorer
List: $135/person
Buyer offered: $100
Seller countered: $115
Agreed: $230 total
2 rounds · 0.4 seconds

Pardisio enables agentic commerce — step by step

You spent years building your Salesforce org — every product cataloged, every pricing rule configured, every approval workflow refined. It’s about to become your most valuable commerce asset. Pardisio bridges AI buyer agents to your existing Salesforce data — Agentforce for complex decisions, automatic handling for routine transactions, everything governed by your trust policies.

Prepare your Salesforce data for AI interpretation — so AI buyer agents can read your products, pricing, and availability.
Set up AI Seller Agents inside Salesforce — Agentforce for complex decisions like negotiation; automatic handling for routine transactions.
Orchestrate the full transaction inside Salesforce — from discovery through payment and post-sale. Your existing Salesforce objects are the system of record.
Every AI-driven transaction is governed by your trust policies.Pardisio’s Trust Policy Engine evaluates every action before it executes.

AI agents will mediate trillions in commerce by 2030

AI agents could mediate $3 trillion to $5 trillion of global consumer commerce by 2030. Agents navigate the same internet as humans — visiting websites, engaging with APIs, interacting with loyalty programs — and they scale quickly. They are reshaping how products are discovered and where value pools can be found.

McKinsey.

AI is no longer a future-facing concept. It’s already embedded in the systems, decisions and strategies that shape business.

By 2028, 90% of B2B buying will be AI agent intermediated, pushing over $15 trillion of B2B spend through AI agent exchanges. Traditional SEO and pay-per-click will give way to agent engine optimization. Products will need to be machine-readable, and procurement will shift to autonomous machine-to-machine transactions.

Gartner.

The protocols for autonomous commerce are live

The rise of agentic commerce reflects three forces. First, AI agents have reached decision-grade usefulness — consumers can delegate shortlisting, assembly, and even execution. Second, the ecosystem now has rails for real autonomy: open-source protocols like MCP, A2A, ACP, and UCP enable agents to negotiate and transact. Third, intent is shifting upstream. For retailers, the implications are stark.

McKinsey.

Everything your org needs for agentic commerce

Pardisio adds agentic commerce capabilities to the Salesforce org you already run — no external platforms, no new infrastructure

Works With Your Existing Salesforce Data

Agentforce for Complex Decisions — Apex for Everything Else

AI-Powered Negotiation With Your Rules

Google Gemini, Claude, and Every Agent Protocol That Comes Next

Trust Policy Governance — Every Action Evaluated Before It Executes

Full Visibility — See Every Decision, On Every Channel

How AI Buyer Agents transact with your Salesforce org

Pardisio installs as a package inside your org — bridging AI buyer agents to Agentforce, Apex, and your trust policies

Pardisio – High Level Architecture

AI BUYER AGENTS Google Gemini A2A / UCP Claude MCP ChatGPT ACP Custom Agents REST API Future Protocols as they emerge YOUR SALESFORCE ORG PARDISIO BRIDGE Package Protocol Translation multi-protocol → unified Session Management identity · trust · state Negotiation Engine offer · counter · accept Transaction Orchestrator commit · execute · settle Trust Policy Engine evaluates every action before execution Agentforce Complex Decisions Negotiation · Custom Pricing · Intelligent Offers · Edge Cases AI runtime cost — only when needed Apex Engine Routine Operations Availability · Standard Booking · Payments · Confirmations Zero AI cost — deterministic Einstein Trust Layer — data masking · permissions · audit logging Salesforce System of Record Product2 PricebookEntry Order Opportunity Contact Invoice Trust Policy Payment Refund Custom Objects No external databases · No third-party data storage · No API keys leave the perimeter Everything runs inside your Salesforce org boundary A2A / UCP MCP ACP REST complex routine
Pardisio Bridge — package inside your org
Trust Policy Engine — evaluates every action before execution
Salesforce Platform — your data, your rules, your org
No Data Leaves Your Org
Pardisio runs as a package inside Salesforce. All product data, pricing logic, and transaction records stay in your org. No external databases, no third-party data storage, no API keys leaving the perimeter.
Hybrid Intelligence Model
Agentforce handles complex decisions — negotiation, custom pricing, edge cases. Deterministic Apex handles routine operations — availability, bookings, payments. You control which path each transaction takes.
Protocol-Agnostic by Design
AI buyer agents arrive via different protocols (A2A, MCP, ACP, REST). The bridge translates all of them into a unified internal flow. When new protocols emerge, you add a channel — not a rebuild.

Pardisio processes all data within your Salesforce org

No product data, pricing logic, or transaction details are stored outside your org boundary. Your Salesforce security model — profiles, permission sets, field-level security, sharing rules — governs every Pardisio action, the same way it governs your human users.

All data stays in your org — Governed by your existing profiles, permission sets, and sharing rules. No external databases. No separate access control layer
Trust Layer + Trust Policy governance — AI decisions inherit Salesforce’s data masking and prompt injection defense. Every agent action is evaluated against policies you define before it executes. No override path
Full transaction audit trail — Every interaction logged. Visible in standard Salesforce reports and dashboards
No AI platform lock-in — If a platform changes its policies, your other buyer channels keep running. Your governance rules don’t change when a platform does

A phased approach to agentic commerce

Each tier delivers standalone value and builds on the previous one — move at a pace that fits your organization.

Tier 1

Commerce Readiness & AI Audit

≈ 4 weeks

We assess whether your Salesforce org can support AI buyer transactions. The output: a completed Merchant Readiness Scorecard and a prioritized action plan.

Commerce foundations assessed — product catalog, pricing logic, approval workflows, entitlements
Agentic readiness evaluated — can AI agents discover, offer, transact, and handle exceptions?
Readiness scorecard, gap analysis, and Tier 2 roadmap delivered
Tier 2

AI Seller Agent Quickstart

≈ 8–12 weeks

We build and deploy AI Seller Agents inside your Salesforce org — covering the full transaction lifecycle, governed and live in production.

Agent discovery and offer construction (stages 1–2)
Agentforce negotiation with your pricing rules (stage 3)
Full transaction lifecycle: agreement locking, inventory holds, payment processing, cancellations and refunds (stages 4–7)
Trust policies deployed and AI buyer channels enabled
End-to-end testing, then production deployment with monitoring
Tier 3

Optimization and Scale

Ongoing

AI Seller Agents are live. We help you get more value over time as the landscape evolves.

Analyze which AI channels drive the most revenue — and expand accordingly
Tune negotiation strategies based on real transaction data
Add new AI buyer platforms as they emerge

Where Are You on the Journey?

AI buyer commerce is a new capability for Salesforce organizations. Whether you’re exploring, ready to deploy, or already live — there’s a starting point that fits.

Tier 1

We’ve heard about AI agents buying things — but we don’t know what it means for our Salesforce org.

Start the Readiness Audit →
Tier 2

We understand the opportunity — now we need to go live.

Book a Free 30-Min Consultation →
Tier 3

We’re live on AI buyer channels — now we want to optimize

See the Walkthrough →

Frequently Asked Questions

What is Agentic Commerce?
AI assistants like Google Gemini and Claude are learning to shop — browsing catalogs, negotiating prices, and placing orders autonomously. An AI buyer agent is an AI system that browses products, compares prices, negotiates, and places orders on behalf of a human or organization — like a procurement assistant at machine speed. For Salesforce organizations, the question is: when an AI buyer agent arrives, can your org respond?
Why your Salesforce Org — not a new platform?
AI agents are great at finding, comparing, and negotiating. But transaction execution — with real inventory, real pricing rules, and real compliance — belongs on the merchant’s system. For your organization, that system is Salesforce — Product2, PricebookEntry, Order, your approval workflows. Pardisio bridges AI buyer agents directly to it.
How does the Hybrid Model work?
Routine transactions (availability checks, standard bookings, payments) run as deterministic Apex — no AI cost, fast and governed.
Complex decisions (negotiation, custom pricing, edge-case queries) use Agentforce for intelligent reasoning with your Salesforce data as context. Most transactions are routine, keeping AI costs focused where they add value.
Does this require Salesforce Commerce Cloud?
No. Pardisio works on Sales Cloud or Service Cloud. If you already have Commerce Cloud, Pardisio adds AI buyer channels alongside your existing web storefront.
Does this require Agentforce?
Agentforce powers the intelligent decisions — negotiation, custom offers, complex queries. Routine transactions run automatically through Apex. We recommend Agentforce for the best experience, but the core platform operates without it.
Which AI platforms can connect?
Google Gemini (via A2A and UCP), Claude (via MCP), and custom agents (via REST). When new platforms emerge, Pardisio adds support without rebuilding your integration.
How long does this take?
Tier 1 (Readiness Audit): ~4 weeks. Tier 2 (Agent Quickstart): ~8–12 weeks. Tier 3 (Optimization): ongoing. Each tier delivers standalone value.
Is this safe? Can AI agents go rogue?
Every transaction is governed by trust policies you define in Salesforce. Who can buy, what discounts are allowed, when human approval is required — all enforced in code before any action executes.

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