Agentforce answers from whatever your reps typed in. You’ve met your reps.
Opine writes the record they never will: every call, Slack thread and redline, assembled per deal. Whatever answers on top of it answers right. Agentforce included.
Madhav Thattai, Salesforce’s EVP and GM for Agentforce: “An agent is only as good as the data it can access and the trust it can maintain.” Salesforce blog · Feb 2026 (opens in a new tab)
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What’s the difference between Opine and Salesforce Agentforce?
Agentforce is a platform for building agents that reason over Salesforce data. Opine is the context layer that makes the record worth reasoning over. It unifies calls, Slack, email and docs into one opportunity-level model, then serves that model to your CRM, your forecast and any agent you run.
Agentforce
A platform for building agents on top of your Salesforce record.
Who reads it
- Salesforce users
- Salesforce admins
Opine
The deal context layer built for your entire revenue org.
Who reads it
The same deal, in both systems
Left is what your reps typed into the CRM. Right is what Opine assembled from the calls, threads and docs around the same deal. An agent can only answer from the one it reads.
Same question to both“Where does the Acme deal stand?”
So the agent answers
“Acme is in Negotiation at $240,000, closing 31 March.”
Accurate. Also just the record, read back.
So the agent answers
“Security review stalled on SOC 2 evidence. Your champion hasn’t replied in nine days.”
See your own deals on the right side
Connect read-only and the first deals assemble the same day. Bring your messiest one.
Row by row, in their own words
Described, not ticked. Salesforce ships more surface area than we do and pretending otherwise would be obvious. Every Agentforce cell is their own public description so you can check it.
Calls, Slack threads, email, docs and CRM edits land on the opportunity on their own, normalized into one model. A Mac app catches the calls your recorder misses.
See how it works: Where deal context comes fromGrounded in Salesforce CRM records, and in external data unified through Data 360 (formerly Data Cloud) with zero-copy federation and MuleSoft.
Opine writes the record. Fields fill from the call that already happened, with the source attached to each one.
See how it works: When the fields are emptySalesforce documents data quality and Data 360 setup as the groundwork, and positions grounding as what keeps agent responses accurate.
Read access to your systems. One person connects Salesforce, Slack and your recorder and the first deals populate the same day.
See how it works: What it takes to stand upAgents are configured in Agent Builder with topics, instructions and actions. Salesforce documents Data 360 as the grounding layer for external data.
Fields fill from the conversation that already happened, with the source attached. RevOps stops sending reminders.
See how it works: CRM fields nobody chasedAgentforce actions can create and update Salesforce records through Flow and Apex, configured per agent.
Agents watch every open deal and flag risk with the evidence attached: something to act on rather than a score to go investigate.
See how it works: Risk you can act onSalesforce describes Agentforce for Sales agents including an SDR agent for inbound follow-up and a coaching agent for roleplay and feedback.
Cross-deal analysis that says why you lost rather than how often, with win-loss reporting built from evidence instead of a closed-lost picklist.
See how it works: Why you lost, across every dealReporting and dashboards are Salesforce platform capabilities. The Agentforce pages describe agents acting on records rather than cross-deal win-loss analysis.
Point Claude, ChatGPT or your own agent at Opine’s MCP server and it reads the live deal context exactly as it stands right now.
See how it works: Readable by the AI you already runSalesforce publishes MCP support and an Agentforce API, with agent access governed inside the Salesforce platform.
Context lands in Slack, in the forecast and in a buyer-facing portal. The people who benefit never open Opine.
See how it works: People without a Salesforce seatAgentforce runs on the Salesforce platform. Salesforce describes deploying agents to channels including Slack, and prices agent usage separately from CRM seats.
The same record follows the account into onboarding, renewal and expansion, and customer success inherits the requirements instead of re-asking for them.
See how it works: After the deal closesPost-sales is served by separate Agentforce Service capabilities on the same platform, configured as their own agents.
Compiled from Salesforce’s public Agentforce pages and our own, verified 24 August 2026. A dash means the capability isn’t described on those pages, not that it doesn’t exist. Spot something out of date? Tell us and we’ll fix it.
What Agentforce users say in public
Admins, developers and buyers, in public, unedited. Every card links to where it was said.
“Agentforce, as a product, just isn't there.”
We didn’t write a word of these. We just built the thing they keep asking for: a record underneath the agent that is actually worth reading.
Built for the people in these threads
Transparent pricing, a record you can check, and answers that cite their sources.
What switching actually takes
You are not leaving Salesforce and we would not ask you to. Four steps, and one of them genuinely costs a week.
Keep Salesforce exactly where it is
Opine installs as a managed package and reads and writes the objects you already use. No migration, no re-mapping, no second CRM.
- Plan a week
Bring your history across
Closed and open opportunities come across with their activity. Teams underestimate this step every time. Plan a week rather than an afternoon if you want the reporting right on day one.
Connect the sources the CRM never had
Slack, your recorder, email and docs. This is the part that changes the answers, because it holds what actually happened.
Point your agents at it
Turn on the MCP server and Ask Opine. Whatever you run reads a record worth reasoning over, Agentforce included.
We’ll scope it against your actual systems, not a template.
The questions that actually come up
Taken from real evaluations where Agentforce was the other option.
Have one we didn’t cover? Bring it to the demo
How accurate are AI agents on CRM work?
Salesforce’s own researchers published the number. CRMArena-Pro, from Salesforce AI Research, benchmarked nine frontier models against nineteen expert-validated CRM tasks. Leading agents completed roughly 58% of single-turn tasks and roughly 35% across a multi-turn conversation. The paper measures LLM agents in a simulated CRM environment rather than any one vendor’s product, so read it as a statement about the category. The failure analysis is the part that matters here: in 9 of 20 failing queries the researchers examined, the agent never acquired the information it needed: a grounding problem that no amount of model quality fixes.
We already pay for Agentforce. Why add anything underneath it?
Because grounding is the variable you can still change. Salesforce’s own pages describe agent accuracy as a function of what the agent is grounded in. The model is not the part of that sentence you control. The record is. Opine makes the record complete, which is the one input that moves the answer, and if you keep Agentforce it gets better.
Is Opine an alternative to Agentforce?
For deal context, yes. Your CRM stays. Teams evaluating Agentforce Sales are choosing which layer owns deal context, and that is the job Opine is built for. Salesforce keeps the objects, the pipeline and the reporting it has today. Opine assembles the record underneath, serves it to whatever AI you run, and replaces nothing else.
Data 360 already ingests Slack and call transcripts. Isn’t that the same thing?
Ingesting a source and modelling a deal are different jobs. Data 360 can absolutely get the data in. That is not in dispute and a page claiming otherwise would be wrong. Ingestion gives you a searchable copy of a transcript. Opine builds a normalized opportunity-level record: what was promised, what is blocked, which criteria the buyer signed off, who stopped replying. That model is the work and it is the part nobody wants to build or maintain.
Isn’t this a feature Salesforce ships next year?
They have had the data for fifteen years and the gap is still here. The hard part is the ETL and the opportunity-level schema that keeps deal context current across every system a deal touches. That work is unglamorous and different in every org. It is why our answer to “what’s the moat” is the data architecture rather than the agent.
Our CRM data is a mess. Doesn’t that break Opine too?
That’s the reason to start here rather than the reason not to. An agent on top of thin fields inherits the mess and states it confidently. Opine fills those fields from conversations that already happened and attaches the source to each one. The layer is how the CRM gets clean.
How current is the comparison on this page?
Every Agentforce cell is dated and linked. The table cites Salesforce’s public Agentforce pages and the date we read them. Salesforce ships fast and renames often, and when they change something that changes a row, the row changes. If you spot one that is stale, email support@tryopine.com and we will fix it.
