SynconAI
Salesforce Agentforce · Consulting & implementation partner
SynconAI helps you adopt Salesforce Agentforce and the broader Agentforce 360 roadmap, so teams move from manual triage to grounded, channel-ready autonomous agents and (where your contracts allow) more proactive, Agentforce 2dx-style automation with clear guardrails, observability, and escalation paths your risk stakeholders accept.
Boardroom-ready Salesforce delivery
Platform reference
Salesforce bundles major Agentforce drops under Agentforce 360: AI agents that plan, act, and escalate; a unified Agentforce Builder experience for design and testing; richer context from CRM and documents; expanded model choice; voice and contact-center patterns; and packaged extensions via Agentforce 2dx and partner marketplaces such as AgentExchange-style listings on AppExchange. We map that public roadmap to your org: topics in Agent Builder, trusted data, channel placement, and who owns prompt changes after go-live. Every capability depends on edition, region, and GA status; your account executive and release notes remain authoritative.
Scope of delivery
From readiness to run-state operations, scoped the way enterprise teams buy work: outcomes, RACI, and measurable pilot gates across Service Cloud, Sales Cloud, Marketing Cloud, voice and contact-center surfaces where licensed, and related integrations.
Programs stall when agents ship without data ownership, testing discipline, and adoption; we engineer grounding, Agentforce Builder-grade quality gates, governance, and change on one roadmap.
Use-case shortlist aligned to Agentforce 360 themes, data checks against customer data platform thinking where relevant, and an honest map of low-code AI agents, Agent Script-style controls, and pro-code needs for your release.
Agent topics, instructions, actions, and UX placement in Service, Sales, and Marketing contexts, using Agentforce Builder / Agent Builder testing loops, sandbox-first delivery, and channel rollout plans that match your GA feature set.
Secure calls to ERPs and SaaS; intelligent context from documents and structured CRM where your Data Cloud / Data 360 architecture supports it; patterns compatible with Google Cloud Agentforce integration listings and your own APIs.
Policies for masking, retention, and human handoff, aligned to Salesforce trust documentation you already use with compliance teams.
Role-based enablement so service leaders, RevOps, and architects know how to tune prompts and retire risky shortcuts.
Run-state hygiene: regression checks, drift monitoring, and backlog for model or action updates, optionally paired with managed services.
Where your licenses and roadmap allow, we align voice and contact-center patterns, plus Salesforce’s Agentforce 2dx narrative for proactive, multimodal experiences, always cross-checked against what is new and your org’s GA entitlements.
From roadmap to run-state: we pair executive-ready narratives with practitioner detail, so Agentforce stays accountable after launch, not only on demo day.
Partnership criteria
We combine platform depth with pilot discipline, so agents do real work in your channels, not slide-deck experiments.
We tie agentic commerce, service, and sales stories to what your org can actually run today.
Australia and United States delivery hubs with shared playbooks, no black-box offshore handoff.
Time-boxed pilots with measurable gates, not open-ended “AI experiments.”
We work where your configuration already lives, including Salesforce Platform patterns for packaged extensibility.
Logging, approvals, and RACI for prompt and action changes your second line can defend.
Backlog for new agents, channels, and model updates, same team that built v1.
Before agents scale
Agents amplify whatever your customer data and CRM hygiene already do, including structured profiles and (where licensed) richer context from documents and knowledge. We partner with data owners on data governance and integration SLAs so agentic enterprise work stands up to audit, not cosmetic demos.
Canonical attributes, duplicates, and stale records surfaced before topics go live.
Marketing, service, and risk aligned on what agents may infer, store, and say.
Evidence packs for regulators and internal audit, not screenshots of happy paths.
Scenario suites and org agent tests where your team configures automated evaluation.
Curated articles, policies, and approved snippets so retrieval stays on-brand and defensible, not a generic web crawl.
Permission sets, sharing rules, and guarded flows so automations cannot read or write outside the scope you sign off.
Pair Agentforce with a governed data layer; we deliver Data 360 programs and the AI data readiness assessment when you need both.
Discuss readinessImplementation patterns
Grounded in Salesforce’s own AI sales agents and service narratives, including voice, messaging, and multimodal expansion paths where your contracts and roadmap allow.
Deflection, triage, and case updates aligned to Service Cloud; explore AI service agents for Salesforce packages where they fit.
Meeting prep, follow-up, and qualification loops; browse Agentforce sales agents on AppExchange when useful.
Guided selling aligned to sales enablement playbooks, not generic chat.
Campaign operations with AI marketing software context; humans stay in approvals where policy demands.
Commerce Cloud and ecommerce AI experiences that respect inventory truth.
Your topics and actions on AI agent platform primitives, browse custom AI agents for enterprise when extending with packages.
Where Agentforce pressure shows up first
Regulators, channel complexity, and product hierarchies change the integration pattern, not the need for grounded agents and clear handoffs.
Controls-first automation with Financial Services Cloud and AI-in-finance framing your risk team can defend.
View practice areaPatient-centric workflows with Health Cloud and healthcare AI guardrails baked into topics and handoffs.
View practice areaConnected journeys using Automotive Cloud and field service data agents can trust at the asset level.
View practice areaHigh-conversion assistance with agentic commerce, ecommerce, and B2B patterns grounded in inventory truth.
View practice areaSubscription lifecycles where identity graphs get noisy fast, agents need crisp entitlement data.
View practice areaMulti-entity B2B hierarchies and project accounting feeds feeding CRM truth for sellers and agents.
View practice areaHow we engage
Choose how you want to start, from a focused proof to multi-agent scale. We tailor scope after discovery.
Validate one workflow
Limited production audience
Multi-agent operations
Delivery method
Six beats we repeat on every engagement: transparent gates, no surprise scope, from discovery through operate.
Stakeholders, channels, risk posture, and edition checks. Agree pilot success measures.
Topics, actions, data contracts, and human handoffs, signed off by business and IT.
Sandbox configuration in Agent Builder / Agentforce Builder with reusable test assets, evaluation sets, and (where available) declarative agent-logic patterns your admins can own.
Scenario suites, load checks, and human review loops before any production traffic.
Phased channels; monitoring hooks live; rollback rehearsed with operations.
Hypercare, prompt governance, and backlog for model or action updates.
What “good” looks like after launch
Every program defines KPIs in discovery; these are the themes executives and operators converge on when Agentforce is run responsibly.
Faster first response and case documentation in customer support journeys, with answers grounded in approved knowledge.
Prep and follow-up automated to AI sales agent standards your RevOps team can tune.
Clean records of who changed a prompt or action, when, and why, so second line and regulators get straight answers.
Pilot gates before additional channels or agents go live, mirroring Salesforce guidance to validate autonomous agents under production-like load.
Latency, topic quality, and engagement signals summarized the way operations already reads service or commerce dashboards, so AI performance is reviewable in steering forums, not only in admin sandboxes.
Escalation triggers, context summaries, and ownership rules so automation augments staff without orphaning cases or duplicating work in Service Cloud and related records.
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.
Further reading
Practitioner guides from SynconAI plus official Salesforce and AppExchange entry points, so your architects can go deep without losing the executive thread.
Our long-form guide for teams planning topics, actions, and governance.
Read the guideRecap and field notes from the Agentforce World Tour session narrative.
Open recapOfficial product hub for positioning and capability summaries.
Salesforce AgentforceSalesforce’s own hub for the latest Agentforce drops, builder, agents, data, models, and more.
Browse what is newSalesforce Admins walkthrough of the unified builder experience for authoring and testing.
Read on Salesforce AdminsWhen agents need a governed customer layer, not just CRM fields.
SynconAI Data 360Curated collection for AI and agent extensions.
Browse collectionAppExchange listings that help finance conversations stay grounded.
Search ROI toolsContext on model and platform partnerships your enterprise office tracks.
Anthropic expansionSalesforce’s public framing for Google Gemini integration paths.
Read announcementDeterministic workflow control, simulator visibility, and reuse patterns straight from Salesforce.
Read Salesforce on Agent ScriptOrder, service, billing, knowledge, and escalation patterns you can map to backlog.
Browse AU use casesLightning, Mobile, Slack, permission sets, and internal agent rollout framing.
Employees hub (AU)Unified build, CRM-grounded conversations, and multi-channel voice deployment.
Voice overview (AU)Keyword hub for packaged agents, prompts, and industry add-ons.
Search AgentforceStraight answers about Salesforce Agentforce and how SynconAI engages.
Agentforce is Salesforce’s Agentforce layer for building and running AI agents that use CRM data, knowledge, and governed actions. Salesforce continues to expand the Agentforce 360 roadmap by release. We help you translate what your org is licensed to run into workflows your teams will adopt.
Agentic AI agents plan multi-step work, call actions, and escalate with context, rather than following a single transcript script.
Common patterns include Service Cloud, Sales Cloud, and Marketing Cloud; exact attach points depend on edition and product entitlements.
Agents need trusted entities; Data Cloud and unified data platform patterns are often part of the architecture, including intelligent context from documents and structured CRM data where your architecture supports it. We coordinate with your Data 360 roadmap.
Consumption and conversation models change by release; use CRM pricing and official Salesforce pricing pages with your account executive; we do not quote SKU prices on this page.
Many customers combine Salesforce with Google data platforms; review the Google Cloud Agentforce integration listing and your integration security review.
Yes, where AI service desk capabilities match your ITSM maturity, paired with ITSM fundamentals.
We time-box channels, measure quality and deflection, and only expand after governance sign-off, mirroring Salesforce’s own guidance to validate autonomous agents in production-like load.
Salesforce uses Agentforce 360 as an umbrella for major drops: a unified Agentforce Builder experience for authoring and testing, AI agents that plan and act with policies, Agent Script-style controls where Salesforce exposes them for more predictable logic, richer context from CRM and documents, expanded model choice, voice and contact-center patterns, and packaged extensions. Names and GA dates vary by release; we map Salesforce’s public roadmap language to what your tenant can turn on today.
Salesforce describes Agentforce 2dx as a step toward more proactive, multimodal agents embedded across workflows and digital experiences, with partner ecosystems such as AgentExchange for packaged actions. What you can enable still depends on product, edition, and region; your account executive and release notes remain the source of truth.
Salesforce positions Agentforce Builder as a unified workspace to design, test, and iterate agents with guardrails and observability patterns appropriate to your org. See Salesforce’s Admin blog overview and your release documentation; we align delivery to what is GA for you rather than assuming every preview feature is production-ready.
Start with Salesforce AppExchange for AI (including AgentExchange-style listings), out-of-the-box AI agents search results, and Agentforce keyword search, then narrow with your architects.
Tell us your priority workflow, we’ll come back with a sandbox-first plan and honest entitlement checks.
Serving organizations across Australia and the USA. Send your details and we’ll contact you within 24 hours to discuss Agentforce strategy, pilots, and implementation.
Fast follow-up: We aim to respond within one business day. No spam, your request goes to our consulting team.
No obligation. Questions? contact@synconai.com