SalesforceAgentforce + Data Cloud

    Salesforce data is static. Agentforce puts it into action.

    An AI teammate for everyone in your org, plus custom agents for the work that matters most. Built by Agentforce-certified architects.

    New in Salesforce
    Agentforce Coworker

    Why Coworker?

    Salesforce's AI teammate, inside the CRM your company already runs.

    Compliance-ready on day one

    Sharing rules, role hierarchy, and field-level security carry over as they are, and your data stays inside Salesforce. Nothing new for InfoSec to review.

    Knows Salesforce, knows your data

    It already knows what a Stage, a Fund, or a Commitment means in your org, because it reads your objects and fields directly. Generic tools start from zero.

    Connectors bring in the full picture

    Email, meeting notes, and documents flow in through connectors. Ask about an account and you get what was said last week, not just the record.

    Update Salesforce in one sentence

    Log the meeting, move the stage, add the contact by telling Coworker what happened. The data entry your team puts off gets done.

    Search
    Coworker answer inside Salesforce search
    Ask Coworker
    Coworker building an SLA chart from a one-line request
    Beyond Coworker

    Custom agents for the work that matters

    Coworker handles the everyday questions. These agents take real action on the workflows that drive revenue — and Coworker routes to them.

    Agentforce for Sales

    Prospecting agents that qualify at scale. Account agents that prep every deal.

    Agentforce for Service

    Cases resolved end-to-end in Service Cloud, not routed by rules.

    Agentforce for Revenue Management

    Agents that move deals through quoting, approvals, and renewals across Revenue Cloud.

    Agentforce for Financial Services Cloud

    Advisor prep and KYC follow-ups. Done with AI. Always audit-ready.

    The straight answer

    Do you need Data Cloud?

    Often, not on day one. We'll tell you which side you're on.

    You can skip it for now

    • Your key data already lives in Salesforce
    • You're starting with Coworker or one focused agent
    • You want value in weeks, not a data project

    It's worth it when

    • Fund, portfolio, or warehouse data lives outside Salesforce
    • Agents need to answer across several systems at once
    • You want search by meaning across emails, docs, and cases
    Why teams pick us

    Why clients build Agentforce with Skydog

    We build custom solutions that actually work for your business. No stock agents. No cookie cutter approach. Built by AI experts.

    01

    AI first.

    AI isn't a buzzword or side project. We are building AI into every engagement. Every day.

    02

    Agents shipped in weeks, not months.

    We don't overcomplicate the V1. We get production ready agents live in week. Then, we iterate.

    03

    Tailored to your business. No stock agents.

    We've done this before. But your business isn't the same, so neither is your agent.

    04

    AI teams actually use.

    50%+ of AI projects fail. Ours don't. Skydog actually understands your workflow and doesn't stop until you have adoption across the team.

    Let's build an agentic enterprise together.

    Grab a time below to speak with our team of Forward Deployed Engineers.

    Speak with a Forward
    Deployed Engineer

    FAQ

    Common questions

    What is Agentforce Coworker?

    Salesforce's AI teammate that lives inside your org. It answers questions from your records and connected sources, updates Salesforce from a sentence, and hands work to your custom agents — all under your existing sharing rules.

    Do we need Data Cloud to use Agentforce?

    No. Coworker and narrowly scoped agents run on the Salesforce data you already have. Data Cloud earns its cost when important data lives outside Salesforce — a warehouse, fund data, or other systems.

    How long does a Coworker go-live take?

    Weeks, not quarters. We scope with the people who will use it, set up permissions and connectors, pilot on real records, then roll out to the team.