A technical deep-dive into how REDA AI's Salesforce-native AI agents read your schema, follow your business logic, enforce your security model, and deploy across 8 channels with no-code agent builder simplicity — all from inside your own org. No Data Cloud required.
Every Salesforce org is a uniquely built system — custom objects, bespoke logic, carefully crafted security rules. Off-the-shelf AI sees none of it.
You've built custom objects, junction tables, and bespoke field structures over years. Generic AI tools know nothing about them — they operate on standard objects only, making them useless for your actual business data.
Your approval thresholds, escalation rules, and validation logic encode years of operational decisions. An AI that doesn't follow these rules doesn't just produce wrong answers — it creates immediate compliance risk and destroys user trust.
Bolted-on AI means a separate system to secure, a separate vendor to audit, and a separate data pipeline to maintain. Every FLS rule you enforce in Salesforce has to be duplicated — and duplication creates gaps.
REDA AI isn't a fixed product — it's an extensible platform. At every level, you control more of what the agent knows, how it behaves, and what it can do. No level requires the next. Start at Level 1 and extend only as far as your use case demands.
Define who the agent is and what it sees on every interaction
Every REDA AI agent starts with an identity and an awareness of the record it's working within. You define the agent's purpose, tone, and role in plain English. Context fields load the most relevant Salesforce data automatically when a user opens a record page — so the agent always starts informed, never generic.
Five prompt types that give the agent deep understanding of your business
Beyond persona, REDA AI supports five structured prompt types assembled hierarchically at inference time. Together they teach the agent your org's data structures, behavioral rules, safety guardrails, and operational context — all written in plain English, all configurable without touching code.
What the agent can do — from pre-built actions to fully custom tools
Agent Ability defines what your agent can actually execute. REDA AI ships with 12 pre-built tools covering the most common Salesforce operations. Beyond that, Salesforce Flow integration connects agent decisions to your existing automations. For deeper programmatic control, agents can be invoked directly from Apex via the REDA AI Apex API. And when your use case needs something entirely bespoke, admins can build custom tools — REDA AI generates the Apex code automatically via Tool Builder.
No-code. Assign to any agent instantly.
Declarative. Connect AI to your existing automation chains.
Programmatic. Invoke agents from any Apex context.
Code-optional. REDA AI writes the Apex — you extend it.
The fastest path from an idea to a live agent is letting REDA AI do the heavy lifting. Click "Build Agent with AI" and REDA AI analyses your org's schema, your record types, and your existing field configuration — then generates a fully configured agent in under two minutes.
Every REDA AI interaction follows the same end-to-end flow. Security is enforced before context is ever assembled. Inference happens at an approved model provider with the minimum context required. Audit is automatic. Here's the full picture.
Below — the same flow seen as four lifecycle stages, with the security guarantee at each step.
The message originates inside Salesforce's authenticated session. On the Internal channel, the full Salesforce security context is already established — no re-authentication, no token exchange.
Session-authenticatedREDA AI loads context fields for the current record — but only fields the authenticated user can see. FLS, sharing rules, and object permissions filter the data before assembly. No raw records leave the org.
FLS + Sharing enforcedThe assembled context — your custom prompts, FLS-filtered field values, and the user's message — is sent to the approved AI model provider, subject to that provider's data-processing terms. Only the minimum context required for inference leaves your org. The AI reasons within the guardrails you've defined.
Minimum context onlyThe response is returned inside the Salesforce UI. Any write actions require explicit user confirmation via Action Confirmation Cards before execution. A full audit trail is created automatically as standard Salesforce records.
Confirmed actions + audit trailSalesforce records, conversation logs, and audit trails stay inside your org as standard objects — there is no REDA-side database holding your CRM data. The AI model provider receives only assembled, FLS-filtered context — field values the running user is authorised to see, scoped to the request — and is governed by that provider's data-processing terms. No customer fine-tuning corpus, no model training on your data. Every interaction is logged as a standard Salesforce record — queryable, reportable, and auditable with the tools you already have.
REDA AI is more than a chat agent. The same managed package handles autonomous document intake, eight communication channels, voice input, and reasoning embedded inside Salesforce Flows.
Want the full capability index? See all capabilities →
Deploying AI without observability is flying blind. REDA AI gives you full visibility into cost, quality, and compliance — from inside your Salesforce org.
Every conversation is scored automatically — Optimal, Good, Needs Review, or High Cost. Identifies which agents and interaction patterns consume disproportionate credits so you can optimise proactively.
See exactly where credits are consumed at the message level — system prompt weight, context field volume, response length. Color-coded intensity indicators make patterns immediately visible.
REDA AI analyses consumption patterns and surfaces specific recommendations — reduce tool count, add a schema prompt, tighten context fields — with estimated credit savings before you apply each change.
When an agent behaves unexpectedly, the incident is logged automatically with full conversation context. AI-powered debugging identifies the likely prompt or configuration root cause and suggests a fix.
Full credit usage history across all agents and channels. Track consumption trends, forecast annual spend, and identify seasonal patterns — all from a standard Salesforce dashboard your team already knows.
Every conversation, action confirmation, and tool execution is a standard Salesforce record. Compatible with any SIEM, reporting tool, or compliance framework your organisation already uses — no additional connectors needed.
No developers. No middleware. Four steps — each one shorter than you'd expect.
Install the REDA AI managed package directly into your org using the secure package install URL provided by the REDA AI team. One-click deployment — no external infrastructure, no middleware, nothing outside Salesforce.
Open the REDA AI Admin tab inside Salesforce and enter your licence key. The Trial plan activates instantly — 2,000 credits, one agent, no credit card required.
Open Agent Builder, describe the agent's purpose, and click "Build Agent with AI." REDA AI reads your org's schema and auto-generates the persona, prompts, context fields, and suggestion chips. Review and deploy.
Drag the Lightning component onto any record page. Embed the External Widget on your website. Add to Experience Cloud portals. Invoke from a Salesforce Flow or directly from Apex for unattended automation.
Your first agent can be live in under an hour.
No professional services needed to get started. Implementation support available for advanced configurations and custom tool development.Not generic department labels — actual deployment patterns with the tools and channels each one uses.
Sales team · Opportunity record pages
External widget · Public website
Apex API · Unattended, triggered on Lead creation
2,000 free credits. Your real Salesforce org. No developers, no credit card, no consultants required to get started.
The word "native" gets overused. Here is what it means in practice — and why it changes the governance, security, and maintenance calculus entirely.
Unlike Agentforce, REDA AI uses a 3-level extensible agent architecture (Persona → Knowledge → Ability) that deploys as a 100% Salesforce-native managed package — no Data Cloud dependency, no per-conversation fees, and no external data transmission. Where Agentforce requires Data Cloud and charges $2 per conversation, REDA AI uses credit-based pricing starting at $1,500/org/month with a free trial. REDA AI is built for the majority of Salesforce orgs that need production-ready AI agents without the overhead, complexity, and cost of Agentforce.
Last updated March 2026