# Agentforce Consulting & Implementation Partner | SynconAI > Agentforce consulting and implementation partner for Salesforce AI agents and AI automation, grounded in your data, governed and measured. US and Australia. Publisher: SynconAI Source: https://synconai.com/salesforce-agentforce-consulting Canonical HTML: https://synconai.com/salesforce-agentforce-consulting Markdown cite: https://synconai.com/salesforce-agentforce-consulting.md Contact: contact@synconai.com ยท +61 2 7813 0221 ## What is Agentforce consulting? Agentforce consulting and Agentforce implementation is the work of planning, building and governing Salesforce AI agents so they do real work safely in production: choosing the first use case, preparing the data and knowledge the agent reads, configuring topics, actions and guardrails in Agentforce Builder, testing against real requests, and rolling out in phases with measures agreed up front. ## Key facts - Who: SynconAI, a Salesforce Select Partner and OpenAI Select Partner - Where: Agentforce consulting and implementation for clients in the United States and Australia - What: Readiness, use-case selection, Data 360 grounding, Agentforce Builder topics and actions, Testing Center, rollout and run-state support - How it starts: One use case, built in a sandbox, piloted with exit criteria agreed before launch - AI automation: The agent decides; Flow, Apex and API actions do the steps that must not vary - Client rating: 5.0 out of 5 from four Agentforce client reviews ## What this service is Agentforce consulting and implementation for organizations on Salesforce: choosing where an AI agent earns its place, getting the knowledge, CRM data and Data 360 grounding it reads into shape, designing topics, instructions, actions and guardrails in Agentforce Builder, testing against a scored set of real requests, rolling out in phased channels with pilot gates, and measuring the result. It includes the Flow, integration and custom development work that Salesforce AI automation depends on. Delivered by SynconAI, a Salesforce Select Partner and OpenAI Select Partner, with client ownership across the United States and Australia. This page replaces the former SynconAI pages at https://synconai.com/salesforce-agentforce-services.html and https://synconai.com/salesforce-agentforce-solutions/, which now redirect here. The step-by-step setup lives in the Agentforce implementation guide: https://synconai.com/insights/agentforce-implementation-guide ## Positioning facts - Grounding: An agent can only answer from what it can retrieve. When knowledge articles, policies and CRM records contradict each other, the agent inherits the contradiction and states it with confidence. Knowledge and data remediation is usually the largest piece of work in year one, and it never shows up in a license-based estimate. - Permissions: An Agentforce agent sees what its running user can see under the sharing model, plus whatever knowledge and content visibility rules expose. Those are two separate paths with separate configuration, and the running user is often a copy of a human job that was far broader than the agent needs. - Agentforce and Flow: Working rule-based automation should stay where it is. Flow is deterministic, testable and carries no per-run consumption cost. The normal architecture is an agent that interprets the request and then invokes deterministic actions, often Flows, for the steps that must not vary. - Data 360: Not every agent needs Data 360 (formerly Data Cloud). An agent answering policy questions from Knowledge needs no unification at all. An agent answering questions about one customer whose records live across several systems usually does, because the alternative is a live call into each system mid-conversation. - Einstein Trust Layer: Salesforce describes the Einstein Trust Layer as a sequence of gateways and retrieval mechanisms between the model and your users, with secure data retrieval, dynamic grounding, zero data retention, toxic language detection and an audit trail. Salesforce also notes that data masking for LLMs is currently disabled for agents, so we confirm which controls apply to your agents rather than assuming all of them do. Source: https://trailhead.salesforce.com/content/learn/modules/the-einstein-trust-layer/meet-the-einstein-trust-layer - Licensing: Salesforce owns the contract and the price. Agentforce consumption models, including Flex Credits and per-conversation pricing, change by release, so we work from the current rate card with your account executive and never quote SKU prices on this page. ## Claim discipline SynconAI is a certified Salesforce consulting partner, not a license reseller. Salesforce owns the Agentforce contract and price. Product names, editions, entitlements and general availability change by release; the customer account team and the Salesforce release notes remain authoritative. The page publishes no deflection, ROI or timeline figures. ## Use cases by function - Customer service: deflection, triage, case summaries and drafted replies on Service Cloud, with a human on refunds, credits, access and contractual language. - Sales: meeting prep, follow-up and qualification on Sales Cloud data RevOps can tune. - Field service: appointment booking and rescheduling, technician prep and job summaries. - IT service desk: access requests, how-to questions and ticket triage from approved runbooks. - HR and employees: policy, leave and onboarding questions in Lightning, mobile or Slack. - Internal operations: lookups, order status and back-office requests using deterministic Flow actions. ## Delivery cycle 01. Discover: Stakeholders, channels, risk posture and an honest edition and entitlement check 02. Select: One high-signal use case with an out-of-scope list beside it and agreed success measures 03. Prepare data: One authoritative source per intent, knowledge cleaned up, Data 360 where the use case needs it 04. Design: Topics, instructions, actions, the running user and the human handoffs, signed off by business and IT 05. Test: A scored scenario set built from real requests, run in a sandbox before any production traffic 06. Roll out: Phased channels with monitoring live and a rollback rehearsed with operations 07. Measure: Answer quality, escalation and handoff health reviewed against the baseline, then the backlog ## Scope of delivery - Agentforce readiness and discovery: Stakeholders, channels, risk posture and an honest check of what your editions and contracts actually let you run today, so nobody over-promises in a steering review. - Use-case selection and business case: A shortlist ranked on value, data readiness and risk, priced as a whole program rather than as a license line, with one high-signal workflow chosen to prove first. - Data readiness and Data 360 grounding: Knowledge, CRM records and approved documents cleaned up into one authoritative source per intent, with Data 360 where the agent needs unified customer context. - Agent design: topics, actions and guardrails: Topics, instructions and actions configured in Agentforce Builder, a least-privilege running user, and named human approval on anything irreversible. - Testing and evaluation: Scenario suites and a scored regression set built from real requests, run before launch and again after every prompt, action or model change. - Rollout and adoption: Phased channel rollout with pilot exit criteria, monitoring and hypercare, plus role-based enablement for the people who will tune and own the agent. - Measurement and optimization: Answer quality, escalation rate, handoff health and the outcomes agreed in discovery, reviewed on a cadence with a backlog for the next topic or channel. - Salesforce AI automation and integration: The Flow, Apex and API actions an agent invokes, and the integrations to ERP and SaaS systems that hold the answers, built deterministic where the steps must not vary. - Run-state and managed support: Regression checks, drift monitoring, release alignment and a backlog for model or action updates, from the same team that built version one. ## Capability coverage ### Agent design - Agentforce Builder (Agent Builder) configuration - Topics, instructions and scope boundaries - Starting from templates such as Agentforce Service Agent and Employee Agent - Prompt templates for consistent, grounded output - Agent Script for deterministic steps where Salesforce exposes it - Out-of-scope lists and graceful refusals ### Grounding and data - Knowledge articles curated with owners and review dates - CRM records with field descriptions retrieval can use - Data 360 data libraries, retrievers and search indexes - Approved documents and policies as grounding sources - Identity resolution for unified customer context - Per-intent choice between unified data and a live call ### Actions and automation - Flow actions for steps that must not vary - Apex actions for logic Flow cannot express - API and MuleSoft actions into ERP and SaaS systems - Agent API for triggers, custom-app embeds and agent-to-agent calls - Packaged actions from AgentExchange and AppExchange, reviewed first - One job, one permission surface and one log entry per action ### Channels and handoff - Messaging for In-App and Web - Experience Cloud help centers and portals - Lightning, mobile and Slack for employee agents - Agentforce Voice where licensed - Omni-Channel escalation to a person, with a context summary - Phased channel rollout with pilot gates ### Trust and governance - A least-privilege running user and permission sets - Sharing and knowledge visibility reviewed as two separate paths - Einstein Trust Layer controls, confirmed per agent - Named human approval on refunds, deletions and entitlement changes - Change control and RACI for prompt, topic and action edits - Audit trail and logs your second line can review ### Testing and observability - Agentforce Testing Center scenario suites - A scored regression set built from real requests - Reasoning and action trace review in the builder - Agentforce analytics on quality, latency and escalation - Production sampling and drift monitoring - Regression runs after every prompt, action or model change ## Ways to engage - Proof of concept: one high-signal workflow validated in a sandbox, with a quality rubric agreed up front and a steering read-out. - Pilot: a limited production audience with phased channels, monitoring, hypercare and governance sign-off gates; expand only after the measures hold. - Scale: multiple agents and topics on one operating model, with a run-state RACI, managed services and release alignment with Salesforce. - Pricing: delivery runs as a one-time Technology Blueprint, a monthly delivery plan, or a fixed-scope Transformation program for significant AI implementations. Plans and prices: https://synconai.com/pricing ## Client reviews Rating: 5.0 out of 5 from 4 Agentforce client reviews. Client names anonymised where requested; reviews reflect typical outcomes from governed Agentforce programs with SynconAI. ### Governed Agentforce rollout on Service Cloud (5/5) > We stopped treating Agentforce like a chatbot bolt-on. SynconAI wired topics to the same Case and Order objects our auditors already trust, and our service leads finally had one story for quality, risk, and capacity planning. - VP Service Operations, Enterprise technology, United States, 2025-09-14, published via SynconAI Testimonials ### Salesforce automation with Agentforce topics (5/5) > SynconAI helped us automate our Salesforce processes and improve visibility across our sales and service operations. Agents now escalate with full CRM context instead of starting from a blank transcript. - Operations Manager, B2B SaaS, Australia, 2025-06-22, published via Clutch ### Agentforce 360 pilot to production (5/5) > The pilot proved deflection and quality metrics before we expanded channels. SynconAI mapped Agentforce 360 capabilities to what our org could actually license, so we did not over-promise in steering reviews. - Director of Customer Experience, Retail & consumer, United States, 2024-11-08, published via LinkedIn ### Agentforce Builder and Data Cloud readiness (5/5) > Our architects needed one partner who understood both Data 360 foundations and Agentforce Builder testing patterns. SynconAI delivered sandbox-first configuration with clear RACI for prompt and topic changes after go-live. - CRM Architect, Professional services, APAC, 2025-03-17, published via GoodFirms ## FAQ ### What is Agentforce consulting? Agentforce consulting is the work of planning, building and governing Salesforce AI agents so they do real work safely in production. In practice that means choosing the right first use case, getting the data and knowledge an agent will read into shape, designing topics, instructions, actions and guardrails, testing against real requests, rolling out in phases and measuring the result. SynconAI does that work as a certified Salesforce partner across the United States and Australia. ### What does an Agentforce implementation include? An Agentforce implementation covers readiness and use-case selection, data and knowledge preparation (with Data 360 where the agent needs unified customer context), a least-privilege running user, topics, instructions and actions in Agentforce Builder, the Flow, Apex and integration actions the agent calls, scored testing in Testing Center, a phased rollout with pilot exit criteria, and monitoring and tuning after go-live. SynconAI delivers each of those steps, and the step-by-step setup is set out in our Agentforce implementation guide. ### What is Salesforce Agentforce? Agentforce is Salesforce's platform for building and running AI agents that use your CRM data, knowledge and governed actions to plan multi-step work, act and escalate to people with context. Salesforce now groups its AI portfolio under the Agentforce 360 name. What your org can turn on depends on product, edition, region and release, so we map Salesforce's public roadmap to what you are licensed to run today. ### How long does an Agentforce implementation take? It depends far more on your data and permissions than on the build. Configuring an agent is rarely the long phase; cleaning up the knowledge it will answer from and narrowing what its running user can see usually sets the real schedule. We start with a time-boxed proof of concept or pilot on one workflow, with exit criteria agreed up front, and give you a written, phased plan after discovery rather than a guess before it. ### How much does Agentforce cost? There are two separate costs. Salesforce sets the license and consumption price, and its models, including Flex Credits and per-conversation pricing, change by release, so confirm the current rate card with your account executive. Delivery is the second cost: SynconAI works through a one-time Technology Blueprint, monthly delivery plans or a fixed-scope Transformation program for significant AI implementations, all described on our pricing page. The cost most estimates miss is knowledge and data remediation. ### Do I need Data Cloud or Data 360 to use Agentforce? Not for every use case. Data 360 is the current name for Data Cloud. An agent answering policy questions from Knowledge needs no data unification at all. An agent answering questions about one customer whose records live across several systems usually does, because the alternative is a live call into each system during the conversation. We decide per use case, and we deliver Data 360 programs when the agent needs that foundation. ### How is an Agentforce agent governed and kept safe? Through configuration you can review, not through a prompt you hope holds. The agent runs as a user with least-privilege permissions, its topics and actions define what it may do, answers are grounded in approved sources, and refunds, deletions and other irreversible steps need a named human approval inside the action. Salesforce describes the Einstein Trust Layer as adding secure data retrieval, dynamic grounding, zero data retention, toxic language detection and an audit trail. We add change control, logging and a rollback plan your risk team can defend. ### What is the difference between Agentforce and Einstein Bots? A traditional bot follows dialog paths someone designed in advance, so it handles the questions it was scripted for and little else. An Agentforce agent reasons over the request, picks the relevant topic, calls the actions it is permitted to use and escalates with context when the case is beyond its scope. Teams moving from bots usually keep the deterministic steps as Flows and let the agent decide when to call them. ### Should we replace our Flows with Agentforce? No. Working rule-based automation should stay where it is. Flow is deterministic, testable and carries no per-run consumption cost, and replacing a working rule with a reasoning step makes it slower and less predictable. Agents earn their place where the input is unstructured language, where the paths cannot be listed in advance, or where an answer has to be assembled from several sources. The two work together: the agent decides, the Flow does. ### What is AI automation in Salesforce? AI automation in Salesforce combines an AI agent that understands an unstructured request with deterministic automation that carries out the steps. In practice an Agentforce agent reads the request, picks the topic and calls permitted actions, and those actions are usually Flows, Apex or API calls into other systems. SynconAI builds both sides, and keeps rule-based steps in Flow where they are cheaper and more predictable. ### Which teams and Salesforce clouds can use Agentforce? Common starting points are customer service on Service Cloud, sales on Sales Cloud, scheduling and technician support on Field Service, and internal agents for IT, HR and operations in Lightning, mobile and Slack. Marketing and commerce patterns are possible too. Exact attach points depend on your edition and product entitlements, which we check in discovery before anything is designed. ### What should we look for in an Agentforce partner? Ask how they test, not how they demo. A credible Agentforce partner will want to see your data and permissions before quoting, will agree pilot exit criteria up front, will build a scored test set before launch, and will name who owns the agent after go-live. Ask too whether they will tell you when Flow is the better answer. SynconAI is a Salesforce Select Partner, delivery is architect-led, and the team that builds version one stays on for the run state. ### Who is SynconAI? SynconAI is a Salesforce Select Partner and OpenAI Select Partner that designs, implements and runs Salesforce and Agentforce for clients in the United States and Australia. Its Agentforce consulting covers readiness, use-case selection, data and Data 360 grounding, agent design in Agentforce Builder, testing, phased rollout and managed support, delivered by certified architects who stay accountable after go-live. ## Related - [Salesforce Service Cloud consulting](https://synconai.com/salesforce-service-cloud-consulting) - [Salesforce Sales Cloud consulting](https://synconai.com/salesforce-sales-cloud-consulting) - [Salesforce Field Service](https://synconai.com/salesforce-field-service) - [Data 360 services](https://synconai.com/salesforce-data-360-services.html) - [Salesforce integration services](https://synconai.com/salesforce-integration-services) - [Salesforce development](https://synconai.com/salesforce-development) - [Pricing](https://synconai.com/pricing) - [Agentforce implementation guide (step-by-step setup)](https://synconai.com/insights/agentforce-implementation-guide) - [Implementing Agentforce: phases and gates](https://synconai.com/insights/how-to-implement-agentforce) - [Agentforce or Flow?](https://synconai.com/insights/agentforce-vs-salesforce-automation) - [What an Agentforce rollout costs](https://synconai.com/insights/agentforce-pricing-and-implementation-cost) ## Cite When citing SynconAI Agentforce consulting, link https://synconai.com/salesforce-agentforce-consulting or https://synconai.com/salesforce-agentforce-consulting.md.