REDA AI is a no-code AI platform with Salesforce AI agents built natively on Salesforce. No matter your vertical, your Cloud edition, or your process complexity — you configure the same no-code platform to serve your exact context. No integrations. No data leaving the org. No professional services required to start.
Banks, wealth managers, and insurers run on Salesforce Financial Services Cloud — but advisors still spend the majority of their day on admin instead of clients. REDA AI deploys Salesforce AI agents that work across your FSC data model without any changes to your org structure.
Financial advisors spend up to 60% of their week on non-client-facing work — CRM updates, meeting prep, email follow-ups, and compliance documentation.
"I spend more time updating records than advising clients."KYC reviews and AML documentation rely on manual cross-referencing of client data. Missed updates create audit exposure and delay onboarding by days.
"Our compliance team is the bottleneck on every new account."HNWI clients expect bespoke engagement, but relationship managers carry books of 150+ clients. Personalisation breaks down at scale without automation.
"We can't deliver white-glove service to every client segment."Before each client meeting, the agent surfaces recent interactions, portfolio milestones, upcoming life events, and flagged action items from FSC — delivered as a structured briefing directly in Salesforce. Post-meeting, it drafts follow-up emails and updates CRM records automatically.
Reviews incoming client data against your defined compliance checklists, flags gaps in required documentation, and generates audit-ready KYC summaries. Triggered via Flow on new Account creation or periodic review schedules — fully unattended.
Guides new wealth management clients through onboarding steps personalised to their profile — risk tolerance, investment objectives, and relationship tier. Collects responses in Salesforce, surfaces gaps to the RM, and schedules the right follow-ups automatically.
Assists applicants through loan documentation requirements step by step via Experience Cloud or internal ops teams. Tracks submission status in Salesforce, sends targeted prompts for missing items, and surfaces the application summary for underwriter review.
Healthcare organisations run Health Cloud but staff still lose hours to manual documentation, missed follow-ups, and fragmented care coordination. REDA AI agents operate inside your existing Health Cloud data model — fully HIPAA-conscious, fully admin-configured.
Clinicians and care coordinators spend 2+ hours daily on documentation and EHR updates — time that could be spent with patients. Incomplete records create downstream risk.
"Half my day is documenting what I did in the other half."Follow-up tasks fall through the cracks between care team members. Missed appointments and referrals go untracked, creating avoidable readmissions and poor outcomes.
"We don't find out about missed follow-ups until it's too late."Life sciences sales reps call on HCPs without a clear view of recent interactions, prescribing patterns, or objections. Conversations lack relevance and waste physician time.
"My reps are flying blind into every HCP call."Sends pre-visit preparation instructions to patients, collects symptom questionnaires, and updates Health Cloud records before the appointment. Post-visit, it drafts care plan summaries, sends follow-up reminders, and flags missed actions to the care team.
Checks coverage eligibility criteria against treatment plans, compiles the supporting clinical documentation needed for prior authorisation submissions, and tracks auth status in Salesforce — reducing the back-and-forth with payers that delays patient treatment.
Before an HCP visit, the agent surfaces recent interaction history, prescribing behaviour signals, open objections, and peer insights stored in Health Cloud CRM — giving reps a sharp, relevant briefing in seconds rather than minutes of manual research.
Screens potential clinical trial participants against eligibility criteria stored in Health Cloud, guides them through the informed consent steps, and creates the required Salesforce records at each milestone — accelerating enrolment timelines for trial sponsors.
Manufacturing organisations rely on Salesforce Field Service and Manufacturing Cloud, but field teams still lose time to manual work order management and dealers lack real-time visibility. REDA AI operates across your asset, order, and dealer data without touching your ERP.
Technicians spend significant time on manual work order updates, parts look-ups, and post-service documentation. Downtime is extended by slow dispatch and information gaps.
"My techs are in the system longer than they're on the equipment."Dealers call in or email for inventory, pricing, and order status — creating high inbound volume and delays. Channel teams lack a scalable way to provide instant, accurate responses.
"Our dealers wait 24 hours for answers we should give in seconds."When supply disruptions occur, identifying at-risk orders and notifying the right account managers requires manual cross-referencing across multiple objects in Salesforce.
"We find out about order risk from the customer, not from our systems."Assists field technicians with work order look-ups, parts availability checks, and on-site documentation via the Salesforce Mobile app. After service completion, it drafts the repair summary, updates FSL records, and schedules the next preventive maintenance visit.
Deployed on Experience Cloud for your dealer network, this agent provides instant answers on inventory availability, pricing tiers, order status, and product specifications — reducing inbound calls to channel teams by handling dealer queries autonomously, 24/7.
Triggered via Salesforce Flow when supply data changes, this agent identifies orders at risk of delay, cross-references the affected accounts, drafts personalised update communications for account managers, and logs the risk flag against each opportunity automatically.
Tracks equipment service histories and maintenance schedules in Salesforce Assets, generates service recommendations based on usage and last service date, and creates proactive outreach tasks for the field service team before equipment failures occur.
Consulting, staffing, and services firms run on Salesforce PSA — but billable utilisation leaks through slow SOW drafting, manual status reporting, and resource allocation that depends on individuals' tribal knowledge. REDA AI plugs that leak.
Scopes of work are drafted manually from scratch, taking days of pre-sales time. Inconsistent language and missed items create downstream delivery risk and change order disputes.
"We're spending billable hours writing proposals instead of delivering."Project managers compile weekly status reports by hand from multiple Salesforce PSA objects — a process that takes 1–2 hours per project and often results in stale or inconsistent client updates.
"Status reports tell clients what happened last week, not what's happening now."Matching available consultants to incoming projects relies on managers' personal knowledge of skills and availability. Utilisation imbalances go undetected until billing review.
"We leave utilisation on the table because the right person isn't visible."When an Opportunity reaches proposal stage, the agent pulls the client context, project type, and comparable past engagements from Salesforce to draft a structured SOW — including scope, exclusions, milestones, and assumptions — ready for PM review within minutes.
On a weekly schedule via Flow, the agent synthesises project milestone completions, risks, budget vs actuals, and open action items from PSA records into a structured status report — ready for PM review and client delivery without manual compilation.
When a new project is being staffed, the agent searches resource profiles, current assignments, and availability windows in Salesforce to surface the best-fit candidates — including near-bench resources — giving resourcing leads a ranked recommendation in seconds.
Monitors engagement patterns across your client accounts in Salesforce — surfacing relationship gaps, upcoming contract renewals, and upsell signals. Recommends next best actions to account leads and drafts outreach that references the specific client context and history.
Real estate agencies, property managers, and PropTech operators use Salesforce to manage listings, leads, and leases — but deal velocity suffers from slow follow-up and agents spend time on tasks that should be automated. REDA AI changes the ratio of agent time spent on relationships vs admin.
Buyers and renters who don't get a response within minutes look elsewhere. Inbound lead qualification is manual, slow, and often falls to the first available agent rather than the best-fit one.
"We lose deals to competitors who respond in minutes while we respond in hours."Property managers field maintenance requests from multiple channels, manually create work orders, and chase contractors for updates — leaving tenants in the dark and extending resolution times.
"Tenants chase us for updates we don't have because the contractor hasn't responded."Opportunities go cold because agents don't have systematic visibility into which deals need attention. Manual pipeline reviews are infrequent and miss timing-sensitive actions.
"We have good leads going cold because no one is nudging them at the right moment."The moment a lead enters Salesforce, the agent qualifies it against budget, location preference, and timeline — scoring it and routing to the right agent immediately. It books property tour appointments, sends confirmations, and creates follow-up tasks — all before a human has seen the enquiry.
Tenants submit maintenance requests via Experience Cloud or email. The agent creates the Salesforce Case, assigns the right contractor, sends the tenant an acknowledgement with expected timeline, and proactively updates the tenant on progress — reducing inbound calls to property managers.
Monitors open opportunities for inactivity, upcoming stage deadlines, and competitive signals. When a deal goes quiet, the agent recommends the next best action and drafts the outreach message for the agent's review — keeping pipeline velocity high without manual review cycles.
Before a client meeting or property viewing, the agent compiles a personalised briefing — pulling the client's preference history from Salesforce, listing relevant comparables from your inventory, and surfacing recent interaction notes — so agents show up to every conversation prepared and relevant.
Law firms and legal operations teams manage matters in Salesforce — but associates still spend the majority of time on document review, research, and status administration rather than high-value legal work. REDA AI reclaims that time without changing how attorneys work.
Associates spend significant hours on contract review, clause identification, and risk flagging — work that is systematic enough for AI augmentation but critical enough to require attorney oversight.
"First-year associates are doing $500/hr review work manually."Attorneys under-record billable time because time entry is a separate, delayed process. Narratives are vague and frequently written at end-of-day from memory — creating billing disputes and write-offs.
"We lose 10–15% of billable hours to poor time capture discipline."Clients want regular matter updates, but drafting them takes time attorneys don't always have. Infrequent communication is a leading cause of client dissatisfaction regardless of matter outcome.
"Clients don't complain about the outcome — they complain about the silence."Assists attorneys with contract review by summarising key terms, flagging non-standard or high-risk clauses, and generating a structured review checklist linked to the matter record in Salesforce — reducing review time while keeping the attorney in full control of judgment.
After key matter activities — calls, document reviews, court appearances — the agent prompts the attorney to confirm time spent and drafts a billing narrative from the activity context in Salesforce. One-click confirmation captures the entry with a client-ready description.
On a scheduled cadence, the agent synthesises matter progress, recent developments, upcoming deadlines, and open items from Salesforce into a structured client update draft — ready for attorney review and send in minutes rather than the hour typically spent compiling.
Surfaces related past matters, key dates, court deadlines, and opposing counsel interaction history from the Salesforce matter record before case strategy sessions. Gives attorneys the full picture instantly — turning pre-meeting prep from a manual exercise into a 30-second agent interaction.
Government agencies and public sector organisations run Salesforce Public Sector Solutions to manage constituent services, case management, and procurement. REDA AI extends that investment with intelligent agents that reduce response times and administrative load — without replacing the human judgment that citizens deserve.
Service desks field the same questions about eligibility, status updates, and process steps thousands of times per month. Caseworkers spend significant time on repetitive informational requests that could be handled automatically.
"60% of our inbound calls could be answered by a well-configured system."High caseloads, manual documentation requirements, and compliance deadlines create quality risk. Missed steps and incomplete records are a leading cause of case reversals and audit findings.
"My caseworkers are doing the work of 1.5 people and documentation is suffering."Tracking vendor contracts, renewal dates, performance milestones, and compliance requirements across Salesforce requires manual monitoring. Missed renewals and compliance lapses are costly and visible.
"We found out a vendor contract auto-renewed at the wrong terms because no one flagged it."Deployed via Experience Cloud, the agent handles common constituent inquiries — service eligibility questions, application status, required document checklists, and process guidance — deflecting high-volume, low-complexity interactions so caseworkers can focus on cases requiring human judgment.
Assists caseworkers with documentation requirements by generating case-specific compliance checklists, flagging incomplete fields before submission deadlines, and drafting case summary notes from the interaction history in Salesforce — reducing manual overhead on every case worked.
Monitors vendor contracts in Salesforce for approaching renewal dates, performance milestone compliance, and budget consumption — generating summary reports for procurement officers and creating proactive task assignments when action is required. Fully automated via Salesforce Flow.
Walks constituents through benefits application steps, checks eligibility criteria against Salesforce record data, identifies missing documentation, and guides applicants to the right service tier — reducing erroneous applications and the caseworker time spent correcting them.
Most AI tools are built for one workflow in one industry. REDA AI is different. It's a configurable, extensible AI platform that sits inside your Salesforce org — and the same platform that serves financial advisors serves case managers, field engineers, attorneys, and property managers.
The underlying architecture — 3-level agent extensibility, 4 deployment channels, admin-built custom tools via Tool Builder — is identical across every deployment. Only the configuration changes.
Whether you deploy in financial services, healthcare, or manufacturing — the same analytics layer tracks conversations, credits, and incidents across all your agents.
REDA AI is available on the Salesforce AppExchange. Install in your org, configure your first agent, and go live — typically in a single day.
REDA AI serves as a production-ready Agentforce alternative across Financial Services, Healthcare, Manufacturing, Legal, Real Estate, and Government. Unlike Agentforce, REDA AI requires no Data Cloud, deploys in minutes as a managed package, and offers credit-based pricing that works for mid-market Salesforce orgs. Each industry vertical benefits from REDA AI's extensible agent architecture with built-in compliance, multi-language support, and 4-channel deployment — at a fraction of the cost of Agentforce.
Last updated March 2026