Salesforce Built a 7-Agent AI Workforce. Here Are the 8 Roles Still Missing

That headline from Dreamforce 2026 landed differently from the usual Salesforce announcements.

Not “we’re adding AI features.” Not “coming soon to a roadmap near you.” Seven actual agents, each with a name, a defined job, and a GA date. Casey handles customer service across voice, SMS, and WhatsApp. Paige resolves IT and HR requests through Slack and portals. Carter converts shoppers. Hunter works outbound sales pipelines. Marshall orchestrates back-office operations. Piper qualifies inbound leads. Fin handles complex customer experience workflows end to end.

That’s a real team. And the numbers backing it up aren’t pilot-program figures — Salesforce has delivered 7 billion Agentic Work Units across Agentforce and Slack, with 3.2 billion in Q2 2026 alone.

But here’s the thing. Seven agents sounds complete. It isn’t.

Salesforce’s 7-Agent Lineup: What’s Already on the Payroll

Before getting into the gaps, it’s worth understanding exactly what each agent covers — because the missing roles only make sense once you see what’s there.

Casey is your service agent. Voice, SMS, WhatsApp, web chat — resolves customer issues, handles FAQs, routes escalations. GA now. Paige sits in the HR and IT lane, resolving employee requests through Slack, portals, and the tools teams already use. Also GA. Carter handles commerce, helping shoppers discover products, compare options, and check out inside a conversation.

Then there’s Hunter — Salesforce’s outbound sales agent. Research, outreach, pipeline management across weeks. Here’s the catch: Hunter is still in pilot. GA isn’t until November 2026. Marshall runs end-to-end back-office processes with full audit trails. Piper is the inbound pipeline agent — engages, qualifies, and converts leads from websites and inboxes. Fin handles complex CX workflows across every channel.

Seven agents. Solid coverage across sales, service, and commerce. But coverage isn’t completeness.

Where the Actual Gaps Are

Run through those seven job descriptions and a few things stand out fast.

None of them do real-time translation. Not one. Casey handles multilingual customers the same way most service tools do — it doesn’t. Compliance monitoring isn’t built into any of them. If a message violates industry regulations mid-conversation, no Salesforce agent flags it in real time. Template quality — whether the actual message your team is sending is clear, compliant, and structured to perform — isn’t something any named agent evaluates before it goes out.

And Hunter, the outbound agent your sales team most needs, isn’t available yet.

In practice, these aren’t minor gaps. They’re the difference between an AI workforce that looks complete on an org chart and one that actually runs without human backup on the difficult conversations.

Eight Roles That Fill What’s Missing

The Outbound Caller That Isn’t Waiting for November

Hunter manages pipeline from research to outreach over weeks. Worth saying: it’s doing that in a pilot for select customers right now. General availability lands in November 2026.

360 SMS’s AI Voice Agent isn’t waiting. It autonomously manages inbound and outbound calls — holds natural, human-like conversations, handles objections, books meetings, and confirms details — without human intervention. Right now, inside your Salesforce org. Sales teams get AI-powered outbound coverage months before Hunter is available to most.

That’s not a knock on Hunter. It’s just the reality of where things stand today.

The Linguist Casey Doesn’t Have

Casey resolves customer service issues over SMS and WhatsApp. But if a customer replies in Spanish, Portuguese, or Japanese — Casey doesn’t adapt. It processes the message, not the language.

360 SMS’s Language Translation feature translates messages in real time based on the recipient’s language. Every reply, accurately rendered, without a bilingual rep in the loop. Beyond the product feature, AI-Connect — a dedicated real-time translation agent — extends this to live calls across 50+ languages.

For global teams, this isn’t optional. Most teams don’t realize how many conversations drop off because the language gap wasn’t handled at the message level before a rep ever got involved.

The Compliance Officer Missing from Every Agent

This one matters most for regulated industries — healthcare, financial services, insurance — and it’s completely absent from Salesforce’s named agent lineup.

360 SMS’s AI Conversational Insights & Compliance Monitor watches conversations in real time. Flags compliance risks before they become violations. Tracks spam signals. Surfaces engagement issues and suggests improvements while the conversation is still active — not after a quarterly audit, during the actual interaction.

No Salesforce agent does this. That’s the thing — Agentforce assumes your messages are compliant. This agent checks.

The Campaign Strategist That Makes Piper’s Leads Worth Having

Piper qualifies inbound leads through websites and inboxes. But what happens after qualification? Piper hands them off. 360 SMS’s AI-Based Drip Campaigns pick them up.

Predictive timing. Behavior-based adjustments. Auto-generated follow-up sequences across SMS, WhatsApp, and email. Content created, approved, and pushed live automatically based on engagement signals and past behavior. This isn’t a static drip — it adjusts based on what the lead actually does, not what you predicted they’d do three weeks ago.

And AI-Powered P2P Messaging keeps individual sales conversations moving with context-aware replies generated in seconds, so no lead goes cold while a rep is in another meeting.

The Quality Layer No Agent Thinks to Check

Send a message to a thousand contacts, and nobody reviews whether it was actually good. That’s where Template Quality Score comes in — 360 SMS’s AI analyzes every outgoing template for clarity, compliance, engagement, and structure before it reaches a customer. The Rephrase & Polish feature refines tone and length with one click. Speech-to-Text Message Drafting lets reps draft and send SMS on the go by speaking instead of typing.

Small features. The kind that compound quietly into real performance gaps between teams that use them and teams that don’t.

The Admin That Builds What All the Others Run On

Salesforce’s Agent Optimizer continuously improves existing agents’ performance. That’s one layer of the system.

ArchBuddy.AI works a different layer entirely. It automates the Salesforce admin and development work that agents need to function — fields, objects, validation rules, triggers, Apex classes, report automation, email templates, remote site settings. Feed it a requirements document or a form input, and it handles the configuration. It doesn’t improve agents. It builds the infrastructure they run on. These aren’t competing tools — they operate at different levels of the same stack.

The Roles That Were Never on Salesforce’s List

Some of these agents cover jobs Salesforce simply didn’t build for — and those jobs still exist whether or not there’s a named Agentforce agent handling them.

MiraAI finds the right candidates using AI semantic matching — understanding query context, not just keywords — and auto-generates role-specific interview questions for recruiters. No Salesforce agent touches recruitment. This runs inside the same Salesforce environment your sales and service teams already operate in.

The LinkedIn Agent extracts and structures client requirements from LinkedIn posts, job descriptions, and messages, turning unstructured data into actionable insights for faster lead qualification and quicker proposals. It also generates posts and manages outreach to engaged users automatically. Hunter does outbound. Hunter doesn’t do LinkedIn.

AIVA works differently from every agent on Salesforce’s list. Where Casey and the AI Voice Agent handle calls autonomously, AIVA assists the human rep during the call — live transcription, next-step suggestions, product recommendations, knowledge base links, all surfaced mid-conversation. Complex deals don’t always benefit from a fully autonomous agent. Sometimes you want a human in the seat with AI running alongside them. That’s a use case none of Salesforce’s seven agents cover.

The Presales Document Agent handles something Marshall doesn’t go near. A new requirement comes in — it reads the RFPs, requirement docs, and case studies already stored internally, generates an SOW or WPS automatically, highlights key risks and action items, and matches relevant case studies when a rep searches by keyword. The sales team gets the context they need instantly, without digging through hundreds of pages before a proposal deadline.

What a Complete AI Workforce Actually Looks Like

Salesforce built a strong starting lineup. Seven agents, well-designed, solving real problems across sales, service, and commerce. For most Salesforce teams, that changes what’s possible out of the box — genuinely.

But the job descriptions that didn’t make Salesforce’s list don’t disappear because there’s no named Agentforce agent for them. The linguist, the compliance monitor, the presales analyst, the recruiter, the LinkedIn researcher, the mid-call assistant, the campaign strategist — those roles still need to be filled. Someone or something still has to do the work.

Eight 360 SMS agents and AI features fill those roles, running natively inside the Salesforce org your team already operates in. Not as a parallel system or a third-party integration that syncs on a delay — as part of the same environment, writing back to the same CRM, informing the same decisions the rest of your agents are already making.

Seven agents get you started. Add these eight and the work actually gets done.

Ready to build a complete AI workforce inside Salesforce? 

Talk to the 360 SMS team — let’s map out which agents your org needs most.