AGENTFORCE CONSULTING SERVICES
AI agents that work — not just demo well.
Most companies have been “exploring Agentforce” for six months. At some point that stops being strategy and starts being an excuse. We build Agentforce systems that run autonomous workflows in production — with governance, security, and measurable ROI baked in from day one.
Processing 147 inbound leads · Scoring against ICP · Routing to rep pipeline · No human intervention
Classifying 64 open cases · Surfacing KB articles · Escalating 3 to human agents with full context summary
Monitoring 38 contracts expiring in 90 days · Drafting renewal outreach · Awaiting approval gate at discount threshold
Coordinating 12 new customer onboarding flows across 4 departments · Provisioning accounts · Scheduling kickoffs
What is Salesforce Agentforce?
Agentforce is Salesforce’s platform for building autonomous AI agents — software that doesn’t just suggest a next step but carries it out. An Agentforce agent can qualify a lead, answer a customer’s question, resolve a support case, or book a meeting on its own, around the clock, grounded in your real CRM data. It reached general availability as Agentforce 360 in late 2025 and is now where Salesforce puts most of its AI investment. Two useful distinctions: unlike an old chatbot, which replies from a script, an Agentforce agent reasons, plans, and takes the action; and unlike Einstein, which tells your team what to do, Agentforce does it for them.
● Salesforce Consulting Partner
● Available on Salesforce AppExchange
Not a chatbot. Not a pilot programme . An actual AI workforce.
Agentforce is Salesforce’s platform for deploying autonomous AI agents grounded in your CRM data. These aren’t chatbots that follow a script. They reason, execute multi-step tasks, access real-time data, and know when to hand off to a human — and what context to hand off with them.
The Einstein 1 Platform means your agents have full visibility into your CRM records, Data Cloud inputs, and external systems. They operate across self-service portals, messaging apps, internal tools — anywhere your customers or employees interact with your business.
Most businesses are sitting on the most productive workforce they’ll ever have access to, and they’re still running a proof of concept. We’ve built 50+ of these in production. We can help you move from demo to deployed.
70%
Of routine, high-volume tasks in a typical B2B service team can be handled autonomously by a properly configured Agentforce agent — without human intervention
40%
Average reduction in agent handle time when Agentforce handles triage, context-gathering, and KB surfacing before human handoff
24/7
Availability — AI agents don't have shifts, sick days, or capacity limits. They run across channels at any volume, within defined governance guardrails
<8wks
From kickoff to first production Agentforce deployment for a mid-market company — including architecture, governance framework, testing, and go-live
What Agentforce agents can do
Service agents
24/7 customer support that resolves cases and answers questions, not just deflects them, handing off to a human when it should.
Sales and SDR agents
qualify and follow up with leads and book meetings automatically: agentic SDR flows that run around the clock without adding headcount.
Internal and operations agents
answer employee questions and handle routine back-office tasks so your team isn’t doing them by hand.
Grounded in your data
every agent works from your real CRM records and knowledge base, so answers are accurate and on-policy, not made up.
Four things that make Agentforce
fundamentally different.
legacy automation — and what we architect into every deployment.
Autonomy
True Autonomous Execution
Unlike rule-based chatbots that require every decision path to be scripted in advance, Agentforce agents reason over available data and decide the best course of action within defined guardrails. They execute tasks — they don't just respond.
- Accesses real-time CRM data, Data Cloud inputs, and external APIs to make informed decisions
- Executes multi-step workflows independently — no human approval needed for routine tasks
- Operates continuously across all configured channels without volume limits
- Guardrails define the boundaries — everything inside them runs autonomously
Governance
Brand Consistency Under Governance
Agents built on the Einstein 1 Platform respond using your business data, your tone guidelines, and your policy constraints. They don't hallucinate. They don't go off-script. Every response is grounded in trusted CRM and Data Cloud inputs — verifiable and auditable.
- Prompt Builder governs agent response tone, format, and policy constraints
- Grounded in your Salesforce CRM data — no fabricated context
- Full audit trail of agent actions and decisions for compliance review
- Data masking and access controls ensure agents only see what they should
Human-in-the-Loop
Intelligent Handoffs — Not Hard Stops
When a situation exceeds what the agent is configured to handle, it doesn't drop the thread. It escalates to a human agent with a full context summary, recommended next steps, and everything the employee needs to continue without starting over.
- Configurable escalation triggers — by complexity, sentiment, dollar value, or keyword
- Full conversation history and CRM context transferred at handoff — no repetition for customers
- Next-best-action recommendations surface for the human agent at point of handoff
- Escalation logic tested in UAT against real edge cases — not theoretical scenarios
Flexibility
Deploy Fast or Build Deep — Your Call
Pre-built agents from the AppExchange get you live in days for common use cases. Custom agents built with Agent Builder, native Flows, Apex, and APIs give you full control over complex or proprietary workflows. We architect whichever path fits your timeline and requirements.
- AppExchange pre-built agents for standard Sales, Service, and HR use cases
- Custom Agent Builder for proprietary workflows and complex business logic
- Native Salesforce Flows, Prompts, and Apex — no fragile third-party middleware
- Multi-channel deployment: portals, messaging apps, Slack, email, and internal tools
The tools inside every
Agentforce deployment.
what we work with on every engagement, and what each component actually does.
Agent Builder
The low-code environment for configuring agent topics, instructions, and actions. Defines what the agent knows, what it can do, and under what conditions it escalates.
Agent Configuration
Salesforce Flows
Automates the business logic behind agent actions — record updates, approval routing, notifications, and multi-object operations. Flows are the engine; agents are the interface.
Process Automation
Prompt Builder
Template and manage the prompts that drive agent responses. Controls tone, format, grounding instructions, and the data the agent references when generating outputs.
Prompt Engineering
Apex & APIs
Custom server-side logic and external system integrations that extend agent capabilities beyond native Salesforce functionality. When the low-code layer isn't enough, we build it in code.
Custom Development
Data Cloud
Unifies customer data from across your enterprise into a single real-time profile. Agents pull from Data Cloud to make decisions grounded in complete, current information — not stale CRM snapshots.
Data Unification
Einstein Trust Layer
Salesforce's security and governance infrastructure for AI. Data masking, zero data retention from LLM providers, audit logging, and toxicity detection — non-negotiable for enterprise deployments.
Security & Compliance
Salesforce
Agentforce
Anthropic
OpenAI
MuleSoft
n8n
AWS
Python
Loan Application Triage Agent
Handles initial loan application intake, pre-qualifies applicants against underwriting criteria, requests missing documentation, and routes complete applications to the right underwriter — with a summary and risk flags already populated.
Processing time: 6 days → 18 hours. Underwriter capacity freed: 60%
Patient Scheduling & Follow-Up Agent
Manages appointment scheduling across provider calendars, sends pre-appointment prep instructions, handles rescheduling requests, and follows up post-visit with care instructions and next appointment reminders — all without staff involvement.
No-show rate down 34%. Admin staff hours on scheduling: down 80%
Supply Chain Exception Agent
Monitors supplier order status, flags delays against production schedules, notifies procurement leads, proposes alternative suppliers from approved vendor lists, and initiates expedite requests — all triggered automatically by threshold breaches.
Exception response time: 4 hours → 12 minutes. Manual monitoring hours: eliminated
Order Management & Returns Agent
Handles order tracking inquiries, initiates returns and exchanges, processes refunds within policy limits, escalates out-of-policy requests to human agents with full order history, and proactively alerts customers to shipping delays before they ask.
CSAT up 22 points. Support ticket volume handled autonomously: 73%
Citizen Services Application Agent
Guides citizens through benefit or permit applications, validates eligibility in real-time against policy rules, requests supporting documents, and provides status updates — reducing call centre volume and application processing backlogs simultaneously.
Application completion rate: up 55%. Call centre contacts for status: down 40%
Customer Onboarding Orchestration Agent
Coordinates new customer onboarding across product, IT, and customer success teams. Provisions accounts, schedules kickoff calls, sends milestone communications, monitors onboarding progress, and escalates when a new customer goes dark after signup.
Time-to-value for new customers: down 28 days. CS team onboarding load: halved
How we build and deploy your agents
1. Pick the right tasks. We find the jobs that are repetitive and rule-based enough for an agent to own — and the ones that should stay human.
2. Ground it in your data. We connect the agent to your CRM and knowledge so its answers are accurate, using Data Cloud where it helps.
3. Guardrails and testing. We set limits on what the agent can do and test hard before it ever touches a real customer.
4. Launch and monitor. We go live in a controlled way and watch performance, tuning as it learns.
We’ve built the automation agents run on.
Agentforce works best on top of clean data and solid automation — which is exactly what we build. For example:
Chevy Chase Healthcare. A high-volume clinic was losing patient enquiries daily with no CRM. We built Sales Cloud with structured lead capture and automated follow-up. Conversions rose 40%, agent admin time dropped 30%, and the pipeline went from invisible to fully visible on day one.
Agentforce vs Einstein — what’s the difference?
Agentforce vs Einstein — what’s the difference? Einstein is the predictive and generative AI inside Salesforce: it scores leads, forecasts deals, and suggests the next move. Agentforce is the layer of autonomous agents that take those actions for you. Einstein recommends; Agentforce does. Most teams run both — Einstein to make the data smart, Agentforce to put it to work. For the predictive side, see our Einstein services.
Further reading on Agentforce
Go deeper on Agentforce — how it compares to Einstein and how Data Cloud powers it behind the scenes.
Architecture first. Governance always.
Autonomous AI agents in a production Salesforce environment require more than technical configuration. They require a governance framework — defined boundaries, escalation policies, audit trails, and trust layer configuration — before the first agent goes live.
We follow a four-phase methodology on every Agentforce engagement. No skipping phases. No deploying agents into production without a documented governance model. That’s how we’ve maintained a zero-failed-build record.
01 Environment Audit & Use Case Discovery
We audit your existing Salesforce org — data model, integrations, org health, and existing automations. Then we run workshops to identify the highest-impact agent use cases based on volume, complexity, and ROI potential. Not every process is a good candidate for an agent. We tell you which ones are and why.
02 Strategic Roadmap & Governance Design
Before any build starts, we document the full governance framework: agent scope, escalation thresholds, data access controls, Einstein Trust Layer configuration, and success metrics. This document is signed off before configuration begins — no exceptions.
03 Agent Design & Architecture
We design the agent architecture using native Salesforce capabilities: Agent Builder for configuration, Prompt Builder for response governance, Flows for business logic, Apex and APIs for complex integrations. Each component is designed for maintainability — not just the demo.
04 Build, Test & Governed Deployment
Agents are built iteratively with regular test sessions using real scenarios. UAT includes edge cases, escalation triggers, and compliance checks. Go-live is staged — we don't flip everything on at once. Hypercare covers the 30 days post-launch with same-day response and weekly adoption reporting.
What we lock down before any agent goes live.
Data Access Controls
Agents only access data they're authorised to see. Field-level permissions, object access, and record-sharing rules are reviewed and locked before deployment.
Einstein Trust Layer
Zero data retention from LLM providers, toxicity detection, audit logging, and prompt injection protection. Configured and tested before any live interactions.
Escalation Policy
Every agent has documented escalation logic — what triggers a handoff, what context transfers, and which human queue receives it. Tested against real edge cases, not theoretical ones.
Compliance Audit Trail
Full audit log of every agent decision, action, and interaction. Surfaced within Salesforce — no external tool needed. Essential for regulated industries.
Success Metrics & Monitoring
Defined before deployment — not after. Agent containment rate, escalation rate, task completion rate, and CSAT impact are tracked from day one and reviewed weekly during hypercare.
Rollback & Iteration Plan
Every deployment has a rollback path. If performance metrics fall below threshold in the first two weeks, we know exactly what to revert and how to iterate — no scrambling.
We sit at the intersection of CRM, Data, and AI.
Agentforce isn’t an AI project. It’s a Salesforce project that requires deep AI understanding. Most AI consultancies don’t know Salesforce well enough. Most Salesforce partners don’t understand AI architecture deeply enough to build something that actually holds up in production.
We’re one of the few Salesforce partners who’ve shipped 50+ agentic AI deployments in production. Not pilots. Not proofs of concept. Live, autonomous systems running real workflows in enterprises across eight industries.
We don’t sell you on Agentforce if it’s not the right tool. And when it is — which is most of the time for high-volume, process-heavy operations — we build it so it lasts.
01 50+ live agentic deployments — not demos
We've shipped Agentforce agents in Finance, Healthcare, Manufacturing, Retail, SaaS, Government, Energy, and Legal. Every industry comes with its own compliance constraints. We've navigated them all.
02 Governance-first architecture — not bolted on afterward
Every engagement starts with a governance framework. Data access controls, Trust Layer configuration, escalation policies, and audit requirements are defined before the first agent gets configured.
03 Senior architects lead every engagement
No juniors owning delivery. No account managers translating requirements. The person who designed your agent architecture is the person who builds it — and is on the call when something needs fixing post-launch.
04 We measure ROI — not just deployment
Success isn't "agent is live." Success is containment rate at target, handle time reduced by the agreed percentage, and business outcomes measurably improved. We define those metrics before we start and track them through hypercare.
04 Full Salesforce stack — not just Agentforce
Agentforce is most powerful when it's connected to a well-built Salesforce org. If yours has technical debt, we'll fix it. We cover the full stack: Sales Cloud, Service Cloud, Data Cloud, MuleSoft, OmniStudio, and custom development.
200+ enterprises. Zero failed builds.
From FinTech to logistics to manufacturing — what clients say when the work is done right.
Over the last decade, I have engaged with many Salesforce integrators, ranging from global giants to niche firms. Amroar stands out as the premier partner. Proactive, technically astute, and consistently focused on finding the right solution rather than the easy one.
Amroar was the key driver in our successful Salesforce overhaul. Precise timelines, adhered to them. A unique talent for translating rough concepts into functional, scalable features — and incredibly fast at resolving post-deployment items.
We threw several complex curveballs their way mid-project, and they adapted seamlessly — often suggesting better alternatives than what we asked for. A fantastic team to partner with.
A truly reliable company that resolved legacy issues our previous vendors couldn’t touch. Availability is top-tier, and turnaround time on support tickets is impressive. Highly recommended.
Working with Amroar has been as educational as it has been productive. I have full confidence that when I hand a scope of work to the Amroar team, it won’t just be completed — it will be executed with excellence.
Amroar diagnosed, planned, and delivered on our requirements with precision. Their work ethic and technical grasp are second to none. Regardless of the tech stack, our next initiative belongs to the Amroar team.
Frequently Asked Questions
Salesforce Agentforce Consulting
Salesforce’s platform for building autonomous AI agents that act on their own — qualifying leads, answering customers, resolving cases, booking meetings — grounded in your real CRM data, around the clock.
Run 24/7 customer-service agents, sales and SDR follow-up agents, and internal operations agents — each working from your CRM and knowledge base so answers stay accurate and on-policy.
Einstein predicts and suggests; Agentforce acts. Einstein scores a lead and recommends a step; an Agentforce agent carries it out. Most teams use both together.
It’s not strictly mandatory, but Agentforce performs far better with Data Cloud behind it, and some editions bundle it in — which is also where a lot of the real cost sits. Agents are only as accurate as the data they’re grounded in. We’ll tell you honestly whether your current setup is enough or whether Data Cloud is worth doing first.
You can start free through Salesforce Foundations, which includes a block of credits and your first 1,000 service conversations. Beyond that, Salesforce now prices it mainly on usage — Flex Credits, where each agent action draws credits (sold around $500 per 100,000), or an older $2-per-conversation model — with per-user editions also available. The honest catch: the real first-year cost is usually well above the headline once you add Data Cloud, implementation, and knowledge setup. We map your likely total cost in a free discovery call so there are no surprises.
It’s production-ready for the right tasks — well-defined, data-grounded work — but go in clear-eyed. Industry analyses through 2026 found most failed Agentforce rollouts failed because of poor data, not the technology. The risk is pointing an agent at the wrong job, or feeding it messy data. We start with one measurable use case, get the data right, add guardrails, prove it works, then scale.
Agentforce’s edge is that it lives on your Salesforce data and processes, so it acts where your customer data already is. The right choice depends on which platform your business runs on — we work across them and will give you a straight answer.
A focused first agent can go live in a few weeks once the data and guardrails are in place. We start narrow, prove it works, then expand.
Yes — we set strict limits on what each agent can access and do, test before launch, and monitor in production. Governance is part of the build, not an afterthought.
Amroar is a Salesforce Consulting Partner with 60+ certifications across the team, listed on the AppExchange. Because Agentforce is part of the Salesforce platform, our partnership covers Agentforce design, build, and support.
Stop exploring.
Start deploying.
you what it takes to get an agent into production, and give you a straight answer on timeline and scope. No pitch
deck. No obligation.