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Just describe your task to Clientell AI, and watch it build and deploy inside your organization.

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Trusted by Salesforce teams worldwide

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Appsmith
CoreView
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Govini
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IESVE
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Encore Focus
Creatiquetech
Skya
Lynx9
Deploid
DGA
Oppco
Indegene
Lytx
Talkspace
IWCO Direct
Nulo
Pixis
Appsmith
CoreView
Constella Intelligence
Govini
Sunbelt Solomon
Safety Vision
Currier Plastics
IESVE
Globus
Gushwork
Irys AI
Prodigy
PAM Hotels
Palletized Trucking
Dallas Habitat
RIM Alliance
Stonewood Partners
Encore Focus
Creatiquetech
Skya
Lynx9
Deploid
DGA
Oppco
Indegene
Lytx
Talkspace
IWCO Direct
Nulo
Pixis
Appsmith
CoreView
Constella Intelligence
Govini
Sunbelt Solomon
Safety Vision
Currier Plastics
IESVE
Globus
Gushwork
Irys AI
Prodigy
PAM Hotels
Palletized Trucking
Dallas Habitat
RIM Alliance
Stonewood Partners
Encore Focus
Creatiquetech
Skya
Lynx9
Deploid
DGA
Oppco

Your AI doesn't know how your business actually works.

Clientell maps your Salesforce org and the systems around it into one Context Graph, with permissions and an audit trail built in. Every agent and AI client reads from it instead of guessing.

Clientell connects Salesforce, email, calendars, files, collaboration tools, development tools and custom APIs. Its Context Graph gives AI agents persistent, governed context. Teams can use Clientell through the AI Agent, Salesforce MCP, custom AI agents, Clientell managed services, or by attaching directly to the Context Graph.

Enterprise systems connect to Clientell's Context Graph. AI clients can attach through MCP, and Clientell can then be used directly, through Salesforce MCP, through a custom agent or as a managed service.
CRM
Data & warehouses
Email & calendar
Files & knowledge
Dev & tickets
Custom APIs
Connectors + APIs
Enterprise stackAll connectors
  • Salesforce
  • Gmail
  • Outlook
  • Google Calendar
  • Google Drive
  • Dropbox
  • SharePoint
  • GitHub
  • Jira
  • Microsoft Teams
  • Slack
  • Custom APIs
Clientell MCP
Your preferred AIMCP details
Anthropic
OpenAI
Gemini
Any MCP client
Governed agent runtimeBuild · test · approve · deploy

Use the same operating layer four ways

One context layer. Scoped access. Full lineage from source to approved action.
Explore the Context Graph

How it works

From zero to deployed in minutes.

Connect your Salesforce. Describe what you need. Watch it deploy with full audit logs.

Create a flow that tags opportunities 'At Risk' if close date is near and probability low.

Clientell automates 231 Salesforce capabilities, has built over 5,000 flows, cleaned more than 2 million records, and documented 2,000+ Salesforce orgs.

231

Salesforce capabilities

5000+

Flows built

2M+

Records cleaned

2000+

Orgs documented

Ways to use Clientell

03 paths

One Salesforce outcome. Three ways to get it done.

Start with the Salesforce work: a Flow, Apex, a data cleanup, permissions, reports, a deployment, or an ongoing backlog. Every path below runs on the same Clientell context and the same approval step. What changes is who operates it and where they work.

Trusted by 2000+ Salesforce teams
231+ Salesforce capabilities covered

  1. 01/03

    Salesforce AI Agent

    Describe the change. Review it before it ships.

    Ask Clientell for a Salesforce change in plain English. The agent reads your org, builds the flow, field, rule, or data fix, validates it, and hands it back for approval. Built for hands-on admins and RevOps teams who want to move faster without giving up control of the org.

    1. 01Describe. Tell Clientell what Salesforce should do, in plain English.
    2. 02Build. The agent reads the org, prepares the work, and validates it.
    3. 03Approve. You review the change before anything reaches production.

    Operated by

    You, inside Clientell

    Best for hands-on Salesforce and RevOps teams.

    See the Salesforce AI Agent

    From $99/month. No credit card required.

  2. 02/03

    Salesforce MCP

    Keep the AI client your team already uses.

    Connect Claude Code, or any MCP-compatible AI client, to the Clientell MCP server. Your client can search your org's metadata and dependencies, Salesforce's own documentation, and the Slack, email, or Jira thread a change was first asked for in. Live record data is read through your own authenticated Salesforce CLI session, so it stays in your org. Built for AI-native admins and developers who already work inside a coding agent.

    1. 01Connect. Run /mcp in Claude Code to verify the Clientell connection.
    2. 02Ask. Search org metadata, dependencies, Salesforce docs, and prior work.
    3. 03Act. Get a grounded plan or draft, then run the change yourself.

    Operated by

    You, inside your own AI client

    Best for AI-native admins and developers.

    See the Clientell Salesforce MCP server

    Early access. Built and verified with Claude Code.

  3. 03/03

    Salesforce Managed Services

    Hand the backlog to a team that owns the outcome.

    Clientell's admins, developers, architects, and RevOps specialists run your Salesforce backlog with the same AI underneath. You set the priorities and keep approval; the team plans, builds, tests, documents, and operates the work. Built for teams with more Salesforce backlog than in-house capacity.

    1. 01Prioritize. Agree on the outcomes, constraints, and order of work.
    2. 02Deliver. Clientell AI and specialists plan, build, test, and operate.
    3. 03Govern. You keep control of priorities, approvals, and direction.

    Operated by

    Clientell's team, on your backlog

    Best for teams with an ongoing Salesforce backlog.

    See Salesforce managed services

    AI-led delivery, with Salesforce experts when the work needs them.

The same context underneath all three

Every path is powered by the Clientell Context Graph, indexing live Salesforce metadata, permissions, and dependencies. In a controlled benchmark of 110 enterprise org questions graded by Claude Opus, adding Context Graph access doubled model accuracy.

View the benchmark method

Without the graph

44.2%

With the Context Graph

86.5%

Context Graph benchmark: 110 questions, 3 repeats, graded by Claude Opus. A controlled result, not a live customer average.

Salesforce work, described once and shipped.

Start with the request already in your backlog. Clientell reads the live org, prepares the work, and keeps the final decision with your team.

Salesforce request
01 / 10

Build a Screen Flow that searches an Account, picks a Contact, and creates the Case with the right required fields.

Context checked: Objects · fields · picklist values · required fields.

  • Checks every object, field, and picklist value exists first
  • Builds the screens, then waits
  • Nothing deploys without your approval
Build Salesforce Flows

Screen recording in a live Salesforce org.

Watch on YouTube

Custom AI agents

Custom AI agents on the same Salesforce engine

Beyond the admin agent, Clientell designs agents for RevOps and GTM, voice and SDR outreach, data hygiene, CPQ, and deal desk. Each one runs on the engine that already works inside live Salesforce orgs.

10 agent types · 2 families

What every one of them inherits

Same org context

Every agent reads the same Context Graph: your objects, automations, dependencies, and prior work.

Same approval gate

Nothing reaches production without your sign-off. Changes are tested in a sandbox first.

Same audit trail

Every action is logged and attributable, and any change can be rolled back in one click.

Inside Salesforce

Agents that act directly on your org, through the same APIs an admin uses.

The agent that powers Clientell. Describe the change in plain English and it builds it inside your org, tests in a sandbox, and deploys on your approval. No IDE, no prompt engineering.

  • Plan, build, diagnose, and activate Flows, including repairing broken Flow JSON
  • Generate Apex, triggers, and LWC, run the tests, and deploy across orgs
  • Create fields, objects, validation rules, list views, and page layouts
  • Set field-level security, assign permission sets, and clone profiles

Typical ask

Build a Flow that creates a renewal task 90 days before contract end

See the Salesforce AI agent

RevOps outcomes on the same engine: routing Flows, account de-duplication, the field automation your forecast depends on, and the reports that track it. Built around your rules, not a template.

  • Build lead-routing and assignment Flows: round-robin, territory, or your own rules
  • De-duplicate and merge Accounts, Contacts, and Leads in bulk
  • Automate the stage, close-date, and forecast fields the pipeline runs on
  • Build the pipeline, forecast, and hygiene reports leadership reviews

Typical ask

Route new inbound leads round-robin across the AE team by region

See the RevOps agent

Keeps the records AI and reporting depend on clean. It creates native duplicate and matching rules, merges duplicates in bulk, and fills or normalizes the fields that decide whether your automation fires correctly.

  • Create native Salesforce duplicate and matching rules, to block or to allow
  • Merge duplicate Accounts, Contacts, Leads, and Cases in bulk, then verify
  • Fill missing fields and enrich records with AI across thousands of rows
  • Run a data-quality and duplicates audit across the org

Typical ask

Fill the missing Industry field from each account's website

A scoped build for pipeline accuracy. It reads real signals from connected email and calendar, updates opportunity stages and fields, and flags at-risk deals on the report your team already reviews.

  • Update opportunity stage and fields from real call and email activity
  • Flag deals with no recent activity or a slipping close date
  • Keep forecast-driving fields current so the roll-up is trustworthy
  • Surface the flags inside the forecast report and dashboard

Typical ask

Flag any commit deal whose close date has slipped twice

A scoped build for quote-to-cash. It reads an inbound spec or RFQ, configures the right products and pricing in your model, and drafts the quote for a rep to review. Built around your catalog and your rules.

  • Read inbound specs, RFQs, or emails and extract the requirement
  • Configure products, options, and pricing against your catalog
  • Draft the quote and write it back to Salesforce for review
  • Apply your discounting and approval rules before a human signs off

Typical ask

Turn this RFQ email into a configured quote in Salesforce

Across your revenue stack

Agents that reach the tools around Salesforce and bring the work back into it.

A scoped build for the operations work that falls between marketing, sales, and RevOps. It moves records and context across the tools you already use, then brings the result back into Salesforce.

  • Automate marketing-to-sales handoffs and lead-to-account matching
  • Pull context from connected tools like Gmail, Drive, and Jira
  • Route records and tasks to the right owner on your rules
  • Write the outcome back into Salesforce as the source of truth

Typical ask

When a lead books a demo, create the opportunity and notify the AE

See GTM agents

A scoped build for outbound and follow-up by voice. It places calls, qualifies on your criteria, and writes every outcome straight back to Salesforce, so nothing lives outside the CRM.

  • Place outbound calls and qualify on your criteria
  • Handle follow-up and reminder calls at the right time
  • Log the call, outcome, and next step on the record automatically
  • Hand off qualified conversations to a rep with full context

Typical ask

Call every new inbound lead within five minutes and qualify

See voice agents

A shipped agent for Salesforce Marketing Cloud, backed by real code. It builds journeys, manages data extensions and content, and handles subscribers across business units over the REST and SOAP APIs. It confirms before it sends or deletes.

  • Plan and create journeys, then publish, pause, or stop them
  • Create and query data extensions and their rows
  • Build content, emails, and assets
  • Manage subscribers and lists across multiple business units

Typical ask

Build a three-step welcome journey for new trial signups

See the Marketing Cloud agent

A scoped build to take deal-desk load off your team. It runs approvals, drafts redlines, and answers RFP or security questionnaires from your approved sources, with a human on the final call.

  • Route and track quote and contract approvals
  • Draft redlines against your standard terms
  • Answer RFP and security questionnaires from your approved content
  • Keep the record, status, and audit trail in Salesforce

Typical ask

Draft redlines on this MSA against our standard terms

When no off-the-shelf tool fits, we design an agent around your workflow and wire it into Salesforce and the systems it touches. The build uses the same engine, so it ships real work rather than advice.

  • Map the workflow, the systems, and the guardrails first
  • Build the agent on the engine that already runs in live orgs
  • Connect the tools the workflow needs, read-only or read-write
  • Deploy inside your org with approvals you control

Typical ask

Automate this multi-step process our admin cannot code

See all ten agents in detailWhat each one does, the systems it touches, and how a custom build gets scoped around your org.Custom AI agents

Custom builds are scoped to your workflow, your connected systems, and your permission model. The list above is what Clientell builds today, not a fixed catalogue.

See the Context Graph underneath

Clientell vs the alternatives

Four ways to get Salesforce work done. Clientell brings live org context, governed execution, and an expert team into one operating layer.

Clientell

Org context

01 / 05

Live Context Layer

Understands your org

Clientell reads the live org before it answers.

Metadata, dependencies, policies, and work history

Swipe or use arrow keys to compare

Clientell compared with Salesforce Agentforce, ChatGPT or Claude, and a traditional Salesforce consultant across five enterprise buying criteria.
FeatureBest fit

Clientell

Agent + context + experts

Agentforce

Agent-building platform

ChatGPT / Claude

General AI + connected tools

Consultant

Human services

Built in.
Live Context Layer

Metadata, dependencies, policies, and work history

Setup needed.

Configured grounding

Salesforce data and actions depend on setup

Not built in.

Prompt and connected tools

No persistent org map by default

Human-led.

Human discovery

Context comes from interviews and analysis

Built in.

Typed dependency paths

Field → object → Flow → dashboard

Setup needed.

Implementation-defined

Coverage depends on actions, data, and architecture

Not built in.

Rebuilt for each task

Relevant text is not a dependency path

Human-led.

Expert investigation

Repeated by the specialist on the project

Built in.
Builds, tests, and deploys

Flows, Apex, data, permissions, and reports

Supported.

Runs configured actions

Action design and implementation come first

Human-led.

Drafts; your toolchain ships

Your team validates and deploys

Human-led.

Delivers through a project

Work enters a human delivery queue

Built in.

Approval, replay, rollback

Every change is reviewable and recoverable

Setup needed.

Salesforce-native controls

Exact governance depends on configuration

Not built in.

Manual gates and records

Chat history is not a deployment ledger

Human-led.

Human review and documents

Rigor varies by engagement

Implementation · license + usage

Commercial model varies by edition and setup

Fast answer · seat + API

Execution remains your responsibility

Days to weeks · hourly/project

Cost follows delivery time

Benchmark medians include failed calls and retries. Results vary by environment. Competitor capabilities and pricing vary by configuration and contract.

What the community is saying on LinkedIn

Trusted by Salesforce Professionals

Real admins. Real orgs. Unscripted posts.

Loading video
Clientell execution inside SalesforceView on LinkedIn
Julian Joseph
Julian Joseph

Salesforce Consultant & Leader

May 2025

Clientell AI didn't tell me what to do in Salesforce. It did it for me. It built the Flow. It created the test data. It let me validate everything right inside my org. My role was still the same: inspect, test edge cases, and make sure the logic matched what I needed. But the heavy lifting - actually creating and wiring everything up - was handled by the AI. That is the difference. Clientell AI is not instructions. It is execution inside Salesforce.
142Unscripted post

More from the Salesforce community

Pablo Gonzalez
Pablo Gonzalez

Salesforce Expert

I just "vibecoded" a Salesforce flow with AI, and a few days ago I said it wasn't possible. I just tried app.clientell.ai and it's basically a ChatGPT that knows how to talk to your Salesforce org and actually get things done. It comes with a bunch of pre-built templates for things you may want to get done and the UX is awesome. It's the first time I see a "Lovable for Salesforce" type of tool that actually works.

89
Community post 1
Julian Joseph
Julian Joseph

Salesforce Consultant & Leader

Test data in Salesforce shouldn’t take all day. Created five contacts with fake emails using Clientell AI in seconds. No manual entry. Fast & easy. Check it out yourself: app.clientell.ai

55
Community post 2
Megan James
Megan James

Salesforce Administrator

By 8am Thursday morning I had accomplished what would have previously taken me at least half of a work day. Clientell's Salesforce Agent helped me create 8 fields, manage permissions, page layouts, and a flow to automate the data capture in a new object launched last month. The best part - while queries were processing, I was making breakfast. While results got refined, I was helping 3.5 year old twins get potty trained. When creation was happening in our production environment, I was packing lunch for the 6 year old.

214
Community post 3
Igor Kudryk
Igor Kudryk

Salesforce YouTuber

Full video review of Clientell AI - building Salesforce automations, creating fields, and deploying flows live on camera.

67
Community post 4
Erik Lopez
Erik Lopez

Salesforce Professional

Alright here we go - I am going to be a shill for a moment. But hear me out, this is genuinely good. Clientell AI makes Salesforce administration feel like having a conversation instead of clicking through setup menus.

104
Community post 5

Stop configuring.
Start building.

Stop waiting weeks for Salesforce changes. Clientell gives you an AI admin that builds flows, cleans data, and deploys all inside your org. No expertise needed.

Clientell Agent

Salesforce execution

01 / 04

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Review before deployment
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The Salesforce Audit Suite

Nine ways to find what's broken in your Salesforce org.

Most orgs accumulate years of permission drift, automation overlap, and license waste before anyone runs a diagnostic. Pick the audit that matches your biggest gap. Results in 24 hours.

01 / 09

Not sure where to start? The full Salesforce health check covers all nine in one diagnostic.

Aggregate audit impact

Orgs scanned (2024-2026)
2,000+
License waste eliminated
$2.3M
Compliance controls mapped
144
Setup changes tracked daily
20,692

Continuous Salesforce audit surface

  • Permissions
  • Flows
  • Licenses
  • Compliance

Customer stories

The hours they stopped losing.

Clientell customer stories, in full

Safe and secure

Your trust is our foundation. Clientell is designed with a deep commitment to data privacy and security. Visit our trust page to learn more.

Frequently asked questions

Common questions about Clientell

Quick answers to what most Salesforce teams want to know first.

11 questions · 3 topics

The basics

What it is, how it runs, and what it costs.

Clientell is an AI admin agent for Salesforce. You describe what you want in plain English (build a flow, clean a dataset, write Apex, document your org, manage permissions) and the agent interprets, generates the Salesforce configuration, and deploys it to your org with human approval.

You describe a task in plain English through Slack, email, or the Clientell platform. The AI agent interprets the request, generates the required Salesforce configuration (flows, validation rules, fields, Apex, permission sets, reports), validates it against best practices, and deploys it after human-in-the-loop approval. Every change has a complete audit trail and one-click rollback.

No. The whole point of Clientell is that you describe what you need in plain English and the AI handles the configuration, including generating Apex when it's required. Admins, RevOps teams, and IT leads use it without writing code. When Apex is the right tool for the job, Clientell writes it for you and shows you the diff before deploying.

Clientell's AI agent starts at $99/month with a 14-day free trial and no credit card required. For teams that want both the AI agent and an expert human team handling ongoing Salesforce admin work, Clientell's managed services start at $3,500/month, roughly 80% less than traditional Salesforce consultants. Full pricing details are on the pricing page.

Safety and control

How changes get reviewed, tested, and reversed.

Yes. Clientell uses human-in-the-loop approval on every action. Nothing deploys without explicit sign-off. Changes can be tested in sandbox first, every deployment has a full audit trail, and you can roll back any change with one click. Clientell is SOC 2, HIPAA, and GDPR compliant and works within your existing Salesforce security and permission model.

Yes. Clientell offers a free Salesforce AI readiness audit that scans your org and flags what's blocking safe AI-driven changes, independent of which AI agent you end up using. It's a good first step before turning any agent loose on flows, permissions, or data.

Run a free AI readiness audit

Deployments happen inside the same chat where you describe the work, not a separate dashboard. Clientell bundles the change with your org's dependencies in mind, runs a pre-flight risk check, tests the diff in sandbox, and gives you one-click rollback if anything needs to be undone after it ships.

See how deployments work

Platform and ecosystem

Where Clientell sits next to Agentforce and your other AI tools.

Clientell and Agentforce solve different problems. Agentforce is Salesforce's enterprise AI platform for building customer-facing chatbots and sales assistants; it requires Data Cloud, enterprise licensing, and significant implementation investment. Clientell is an AI admin agent for the people who manage Salesforce internally: admins, RevOps teams, and IT leads. It handles flows, data cleaning, permissions, and org documentation starting at $99/month with no implementation required.

Yes. Clientell runs a hosted MCP server, so any MCP-compatible client can read a structural map of your Salesforce org instead of working from whatever you paste into a prompt. It indexes metadata and relationships, and reads live records through your own authenticated Salesforce CLI session, so record contents are never copied out of your org. The MCP server is in early access today, which means access comes from the team rather than a self-serve signup.

Clientell MCP server

Yes. Alongside the admin agent, Clientell designs and builds custom agents around your CRM and the rest of your revenue stack: RevOps and GTM agents, voice and SDR agents, data hygiene, CPQ, and deal-desk agents, plus one-off workflow agents when nothing off the shelf fits. They run on the same engine as the admin agent, so they do real work inside your systems and deploy with your approval.

Custom AI agents

Clientell's Context Graph is a governed map of your Salesforce org and the rest of your enterprise stack: CRM, data, email, files, tickets, and custom APIs. It resolves a specific path to what a task needs instead of flooding a model with your whole business, and every relationship is typed, versioned, and labeled by confidence. The AI agent, custom agents, and MCP all read from the same graph, so context is built once and reused, not rebuilt for every task.

Explore the Context Graph
Still have a question?Ask the team that works inside Salesforce orgs every day.Talk to a human
Getting Started

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on autopilot.

Join 2000+ Salesforce teams already using Clientell to ship changes without the wait.

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