Salesforce Agentforce is not Einstein Analytics with a new name.
Previous Salesforce AI features were primarily predictive: lead scoring, opportunity insights, forecasting. Agentforce deploys autonomous agents that take actions: updating records, routing leads, triggering workflows, and making decisions based on Data Cloud grounding.
That changes the implementation requirements significantly. A partner who has configured Salesforce for years but has not built production Agentforce deployments is learning on your engagement.
And a partner who knows AI agents but does not understand Salesforce’s data model, flow architecture, and integration patterns will build agents that work in isolation but break when connected to the real CRM environment.
The firms on this list understand both.
Key Takeaways
- Agentforce is a different implementation discipline than previous Salesforce AI features. Agentforce needs workflow mapping, Data Cloud prep, and governance.
- Data Cloud readiness determines agent quality. Agents are only as reliable as their data. Skip data prep and they fail.
- Salesforce retired its old partner tier system in March 2026. New tiers include Agentforce certifications. Pre-March 2026 lists are outdated.
- Custom AI agents and Agentforce serve different use cases. Agentforce suits native Salesforce workflows. Custom agents suit multi-system workflows.
- Post-deployment optimization separates good Agentforce deployments from great ones. Agent performance needs tuning as data and platform change.
Who Should Read This Guide
This guide is for Salesforce admins, RevOps leads, and technology decision-makers at US businesses that run Salesforce and are evaluating AI agent deployment on the platform.
You are either evaluating Agentforce for the first time, replacing a partner whose Salesforce AI deployment stalled, or looking for a firm that can build agents across Salesforce and the systems connected to it.
This guide is not for:
- Enterprise organizations above $100M evaluating Accenture or Deloitte-scale Salesforce programs
- Companies that do not currently run Salesforce and are evaluating CRM options rather than AI agent deployment
- Organizations whose AI use case lives entirely outside of Salesforce
How We Selected These Firms
Each firm was evaluated against five criteria:
- Agentforce and Salesforce AI depth: Documented live Agentforce deployments, not just Salesforce implementation experience
- Data Cloud capability: Ability to prepare and unify customer data in Salesforce Data Cloud, which Agentforce agents depend on for reliable grounding
- Custom AI agent capability: Ability to build AI agents on OpenAI or Anthropic when the use case extends beyond what Agentforce handles natively
- USA operations: Primary team or significant USA-based operations
- Post-deployment support: Structured monitoring, optimization, and platform update management after agents go live
No firm paid to appear on this list.
Best Salesforce AI Agent Consulting Firms: Quick Comparison
| Firm | Salesforce tier | Best for | Starts at |
|---|---|---|---|
| Phos AI Labs | OpenAI Select Partner + Anthropic partner | Salesforce users needing custom AI agents that extend beyond Agentforce | $10,000/month |
| LOW/CODE Agency | OpenAI Select Partner + Anthropic partner | Salesforce SMBs needing custom AI agents connected to CRM and operational data | ~$20,000 |
| Girikon | Salesforce Summit Partner | Agentforce deployments with defined methodology and 150+ Salesforce certifications | Project-based |
| Coastal Cloud | Salesforce Summit Partner, 8,000+ projects | Mid-to-enterprise Agentforce in healthcare, communications, travel, and hospitality | Project-based |
| Noltic | Salesforce specialist | Agentforce for organizations transitioning from fragmented CRM to unified Salesforce | Project-based |
| Argano | Salesforce Summit Partner | Agentforce for enterprises needing full-platform Salesforce depth with AI-driven workflows | Project-based |
The Best Salesforce AI Agent Consulting Firms
1. Phos AI Labs
Phos AI Labs is an embedded AI consulting firm for mid-market US businesses.
We are one of the first 10 firms globally in the OpenAI Select Partner Network, and among the first firms globally in the Anthropic Claude Partner Network.
Our full team of 10 engineers holds CCA-F certification.
For Salesforce users, Phos brings a capability most Agentforce partners cannot: custom AI agents built on OpenAI and Anthropic infrastructure that connect to Salesforce as one system among many.
When the workflow that needs an agent spans Salesforce, a proprietary database, a third-party API, and an internal document store, Agentforce alone is not the right architecture.
Phos builds the custom agent that connects all of them.
| What Phos AI Labs builds | Why it matters |
|---|---|
| Custom AI agents that connect Salesforce to external systems via API | Agents that act across Salesforce and the broader technology stack, not just inside CRM workflows |
| RAG-powered knowledge agents grounded in Salesforce data and external sources | Agents that reason over your customer records, product documentation, and internal knowledge simultaneously |
| Lead qualification and routing agents connected to Salesforce lead and contact records | Agents that update Salesforce records and trigger workflows automatically as part of a connected qualification process |
| Agent governance: audit trails, escalation paths, and human-in-the-loop controls | Every agent ships with the controls that make autonomous Salesforce actions safe in production |
How Phos AI Labs delivers
Every engagement starts with a workflow mapping session that determines whether Agentforce, a custom AI agent, or a combination of both is the right architecture.
We build on OpenAI and Anthropic infrastructure, select the right model for the specific use case, and integrate with Salesforce through its API and data model.
Who Phos AI Labs is for
Salesforce users at $5M+ whose AI agent use case spans Salesforce and other systems, and who need OpenAI and Anthropic partner-level access to get the architecture right.
What it costs
AI Readiness Audit from $10,000 · Ongoing embedded delivery from $15,000/month · Full embedded AI department up to $50,000/month
Best for: Salesforce users needing custom AI agents that extend beyond Agentforce to connect Salesforce with external systems, built on OpenAI and Anthropic infrastructure.
2. LOW/CODE Agency
LOW/CODE Agency is the engineering arm of Phos AI Labs, with 450+ products delivered for clients including Coca-Cola, American Express, Zapier, and Medtronic.
As an OpenAI Select Partner and Anthropic Claude Partner Network member, LOW/CODE builds custom AI agents that connect to Salesforce and the full operational stack for SMBs and growth-stage companies.
Where Agentforce handles Salesforce-native workflows, LOW/CODE builds custom agents that extend AI action across connected systems: pulling data from Salesforce, processing it through a custom AI layer, and writing results back to CRM records.
How they approach Salesforce AI agent development
- Salesforce API integration: Custom AI agents built to read from and write to Salesforce records, fields, and objects through the Salesforce REST and Bulk APIs
- RAG-powered CRM knowledge agents: Agents that reason over Salesforce customer data alongside product documentation, support history, and internal knowledge bases
- Connected workflow agents: AI agents that act across Salesforce, marketing automation, support platforms, and operational databases as part of a unified process
- OpenAI and Anthropic dual access: Model selection based on the specific Salesforce use case requirements, not platform defaults
Who they are for
Salesforce SMBs and growth-stage companies that need custom AI agents extending beyond Agentforce, connecting Salesforce to external systems and data sources through OpenAI and Anthropic infrastructure.
Best for: Salesforce SMBs needing custom AI agents that extend beyond Agentforce, built by an OpenAI Select Partner and Anthropic partner with 450+ product builds.
Book a call with LOW/CODE Agency
3. Girikon
Girikon is a Salesforce Summit Partner operating across the US, Australia, and India, with 150+ Salesforce certifications, 300+ successful implementations, and three AppExchange products.
Girikon’s Agentforce practice follows a defined methodology from org readiness assessment through post-launch performance governance: structured delivery, not a generic Salesforce engagement with Agentforce added on.
Summit-tier Salesforce status gives Girikon access to Salesforce product teams and beta program eligibility that lower-tier partners do not hold. Their AppExchange products — GirikVoice, GirikSMS, and GirikCTI — demonstrate capability to build beyond consulting into product delivery within the Salesforce ecosystem.
How they approach Salesforce AI agent consulting
- Org readiness assessment first: A proprietary framework that identifies data quality gaps, automation conflicts, and org risks before any Agentforce configuration begins
- Agentforce methodology: A defined delivery process from readiness through configuration, testing, and post-launch governance, not an improvised implementation
- Multi-cloud Salesforce certification: Service Cloud, Sales Cloud, and Data Cloud certification covering the full stack Agentforce agents depend on
- AppExchange product delivery: Three live AppExchange products demonstrating the ability to build production-grade Salesforce-native solutions beyond implementation services
Who they are for
US enterprises and mid-market companies that need Agentforce deployment with defined methodology, Summit Partner access to Salesforce product teams, and a partner with documented multi-cloud Salesforce depth.
Best for: US enterprises and mid-market companies needing structured Agentforce deployment from a Salesforce Summit Partner with 150+ certifications and a proven org readiness methodology.
4. Coastal Cloud
Coastal Cloud is a Salesforce Summit Partner with over 8,000 projects delivered, specializing in Agentforce deployment across healthcare, communications, travel, and hospitality.
Coastal Cloud is one of the largest Salesforce Summit Partners, recognized as best for mid-to-enterprise companies undergoing AI transformation in healthcare, communications, travel, and hospitality.
The industry specialization is operationally relevant: Agentforce for a healthcare organization has different data privacy requirements, workflow logic, and compliance constraints than Agentforce for a communications company. Coastal Cloud has built in those environments before.
How they approach Salesforce AI agent consulting
- Industry-specific Agentforce delivery: Agents configured for the specific compliance requirements, workflow logic, and data structures of healthcare, communications, travel, and hospitality organizations
- 8,000+ Salesforce projects: Delivery depth across the full Salesforce platform, with Agentforce deployment grounded in deep platform knowledge rather than surface-level configuration
- Summit Partner status: Access to Salesforce product teams, beta programs, and escalation paths that lower-tier partners cannot access
- Mid-to-enterprise scale: Delivery models calibrated to organizations large enough to need Agentforce across multiple Salesforce clouds and business units
Who they are for
Mid-to-enterprise Salesforce users in healthcare, communications, travel, and hospitality that need Agentforce deployed with industry-specific compliance and workflow expertise from a large Summit Partner.
Best for: Mid-to-enterprise Salesforce users in healthcare, communications, travel, and hospitality needing industry-specific Agentforce from a Summit Partner with 8,000+ delivered projects.
5. Noltic
Noltic is a Salesforce specialist with a focus on Agentforce implementation for organizations transitioning from fragmented CRM environments to unified Salesforce architectures.
Noltic’s implementation approach is particularly suitable for organizations transitioning from fragmented customer management systems into unified Salesforce environments.
For companies where the Agentforce deployment depends on first unifying a messy Salesforce org, Noltic’s CRM modernization capability is the prerequisite work that most Agentforce partners skip.
How they approach Salesforce AI agent consulting
- CRM modernization before Agentforce: Org cleanup, data model restructuring, and Salesforce architecture work before any agent configuration, ensuring the foundation is solid
- Agentforce implementation: Agent configuration, action definition, Data Cloud grounding, and testing for organizations with a clean Salesforce foundation
- More affordable than large SI firms: Pricing calibrated to mid-market Salesforce users who need Salesforce architecture expertise without global systems integrator overhead
- Salesforce architecture depth: Technical Salesforce knowledge that goes beyond configuration to the data model and integration patterns Agentforce depends on
Who they are for
Mid-market Salesforce organizations whose Agentforce deployment is blocked by a fragmented or poorly structured Salesforce org, and who need CRM modernization alongside agent implementation.
Best for: Mid-market Salesforce users needing CRM modernization before Agentforce deployment, with Salesforce architecture depth at pricing below large SI firms.
6. Argano
Argano is a Salesforce Summit Partner with deep capability across Agentforce, Tableau, and Sales Performance Management.
Argano’s Salesforce practice spans the full platform, with deep capability in Agentforce for autonomous AI-driven workflows, Tableau for enterprise analytics, and Sales Performance Management for organizations that need to align revenue execution with incentive structures.
Argano is built to eliminate what it calls organizational and legacy debt — the accumulated inefficiencies, disjointed systems, and entrenched workarounds that quietly suppress performance across modern enterprises.
How they approach Salesforce AI agent consulting
- Full-platform Salesforce depth: Agentforce deployment grounded in expertise across Sales Cloud, Service Cloud, Tableau, and Sales Performance Management
- Organizational debt elimination: A methodology that identifies and addresses the legacy inefficiencies that prevent AI agents from working correctly in complex enterprise Salesforce environments
- Enterprise AI-driven workflows: Agentforce configured for organizations with complex revenue operations, multi-cloud Salesforce environments, and enterprise-grade performance requirements
- Super Boutique model: The resources and credibility of a large firm combined with the accountability and agility of a specialist boutique
Who they are for
Enterprises with complex Salesforce environments that need full-platform Agentforce deployment alongside Tableau and Sales Performance Management, from a Summit Partner built to eliminate organizational and legacy debt.
Best for: Enterprises with complex multi-cloud Salesforce environments needing full-platform Agentforce deployment from a Summit Partner with depth across Tableau and Sales Performance Management.
Five Questions to Ask Before Hiring a Salesforce AI Agent Consulting Firm
1. Show me a live Agentforce agent you deployed that is taking actions in a production Salesforce org.
Ask for a specific example: the org it runs in, the actions it takes, and how many agent interactions have occurred in the last 30 days.
A firm that cannot provide production evidence has not deployed Agentforce at real scale.
2. How do you assess and prepare the Salesforce org before configuring any agents?
Agentforce requires clean business logic, reliable data, integrations, governance, testing, and continuous optimization. Ask specifically how the firm assesses Data Cloud readiness, identifies automation conflicts, and cleans data quality issues before any agent configuration begins.
3. How do you handle use cases that extend beyond what Agentforce can do natively?
Some workflows require AI agents that connect Salesforce to external systems, APIs, or data sources that Agentforce cannot access natively.
Ask specifically whether the firm can build custom AI agents on OpenAI or Anthropic that connect to Salesforce through the API, and what their experience with that architecture is.
4. What Agentforce and Data Cloud certifications does your team hold?
Salesforce retired its old four-tier partner hierarchy in March 2026 and replaced it with two tiers: Select Partner and Summit Partner, with dedicated Agentforce and Data Cloud certifications. Ask specifically how many Agentforce Specialist certifications the delivery team holds, not the firm overall.
5. What does post-deployment optimization look like?
Agentforce agents require continuous optimization as data changes, Salesforce platform updates arrive, and user behavior shifts.
Ask specifically what the post-deployment engagement covers, how often agent performance is reviewed, and how the firm handles the impact of major Salesforce releases on deployed agents.
When to Use Agentforce vs. a Custom AI Agent on Your Salesforce Data
The most important architectural decision for Salesforce users deploying AI agents in 2026 is whether to use Agentforce, build a custom AI agent, or use both.
Use Agentforce when: The workflow lives entirely within Salesforce, the agent needs to act on Salesforce records and trigger Salesforce flows, and your Data Cloud is clean enough to ground the agent reliably. Agentforce is optimized for Salesforce-native workflows and is the fastest path to production for use cases that fit within that boundary.
Use a custom AI agent when: The workflow spans Salesforce and external systems, requires reasoning over data outside of Salesforce Data Cloud, or needs capabilities that Agentforce does not support natively. Custom agents built on OpenAI or Anthropic infrastructure and connected to Salesforce via API give you more flexibility at the cost of more implementation work.
Use both when: The core workflow is Salesforce-native and managed by Agentforce, but the agent needs to call external APIs, process data from outside Salesforce, or reason over a knowledge base that lives outside the Salesforce data model. A hybrid architecture handles the Salesforce-native parts natively and delegates the external operations to a custom agent layer.
A consulting partner who can only do one of these three is not giving you the right architectural recommendation. They are giving you the recommendation that fits their capability.
Ready to Get AI Agents Working in Your Salesforce Environment?
Most Salesforce Agentforce deployments fail at the data layer.
The agent is configured correctly, the actions are defined, and the agent produces unreliable outputs because the Data Cloud foundation was not prepared before the deployment began.
Phos AI Labs builds custom AI agents for Salesforce users with $5M+ revenue who need agents that connect CRM data to external systems, reason over broader knowledge bases, and take actions across the full technology stack.
We are one of the first 10 OpenAI Select partners worldwide and one of the first Anthropic partners with CCA-F certification. Our team of 10+ CCA-F certified forward deployed engineers has completed 400+ total engagements and 40+ AI Native Projects delivered.
- Workflow architecture first: We determine whether Agentforce, a custom agent, or a hybrid is the right approach before any configuration begins.
- Custom AI agents on OpenAI and Anthropic: Agents that connect your Salesforce data to external systems through partner-level model access.
- Salesforce API integration: Agents that read from and write to Salesforce records, fields, and objects as part of a connected workflow.
- Governance from day one: Audit trails, escalation paths, and confidence thresholds built in before any agent takes action in your CRM.
- Post-deployment monitoring: Agent performance tracking, data quality monitoring, and platform update management included in the engagement scope.
Engagement pricing:
- AI Readiness Audit: from $10,000
- Ongoing embedded delivery: from $15,000/month
- Full embedded AI department: up to $50,000/month
No self-serve signup. All engagements scoped on a call.
Start a conversation with Phos AI Labs
FAQs
What Is Salesforce Agentforce?
Agentforce is Salesforce’s autonomous AI agent platform. Unlike previous Salesforce AI features (lead scoring, forecasting), Agentforce deploys agents that take actions: updating records, routing leads, triggering workflows, and making decisions based on Data Cloud grounding.
How Is Agentforce Different from Einstein AI?
Einstein AI was primarily predictive. Agentforce is agentic: it observes state, decides on actions, and executes those actions within Salesforce workflows. The implementation requirements are significantly more complex.
Do I Need a Salesforce Partner to Deploy Agentforce?
Most organizations need a partner for production Agentforce deployments. Data Cloud preparation, org readiness assessment, action definition, and post-deployment governance require experience that most internal Salesforce teams have not yet developed.
What Is Data Cloud and Why Does It Matter for Agentforce?
Salesforce Data Cloud is the unified data layer that Agentforce agents draw on for grounding. Agents are only as reliable as the data in Data Cloud. Poor data quality in Data Cloud produces unreliable agent outputs regardless of how well the agent itself is configured.
Can I Build Custom AI Agents That Connect to Salesforce Without Using Agentforce?
Yes. Custom AI agents built on OpenAI or Anthropic infrastructure can connect to Salesforce through the REST and Bulk APIs, reading from and writing to Salesforce records as part of a broader multi-system workflow. This is the right architecture when the workflow extends beyond what Agentforce can handle natively.