The whole bench, on demand.
A full Salesforce + AI team, for less than one senior hire
Running AI on Salesforce takes five skill sets — admin, architect, Data Cloud, Agentforce builder, and someone who owns the number — and they don't live in one person. A full in-house team is payroll you can't justify before the return shows up. A fractional team gives you that whole bench on demand: SkySync builds it, runs it week to week, and stays on the hook for the result, so you get senior coverage without five hires.
The hire you're writing a JD for doesn't exist
Read the job description back to yourself. You want one person who can audit and unify messy data, model it on Data Cloud, build and govern Agentforce agents, keep the org healthy as it changes, and report to leadership on what it earned. That's not a hire — that's a function. The rare person who can do all five well commands a near-executive salary and won't sit in a single IC seat to do it. So most teams settle: they hire one strong admin, hope they grow into the data and AI work, and quietly stall when day-to-day swallows the calendar.
Why one team beats five contractors
The obvious fix — go rent the five specialists by the hour — quietly recreates the problem. Five contractors on five task lists isn't a team; it's coordination overhead you now own, with no one holding the whole picture. Leverage comes from a single group where the architect who modeled the data is in the same room as the builder shaping the agent and the person watching the number. Decisions that would take a week of cross-vendor email take a hallway conversation. You're buying a working unit, not a roster.
- Breadth from week one — Data Cloud, Agentforce, admin, and ownership of the metric, instead of one person context-switching across all four.
- Senior judgment without a senior salary — you fund the work the org needs this quarter, not a full-time seat that's idle the rest of the year.
- No single point of failure — when a contractor or hire walks, the org knowledge doesn't leave with them.
- Built by people who shipped it before — Agentforce agents from a team that built Agentforce, not someone learning the platform on your data.
The honest cost comparison
Here's the math the staffing pitch leaves out. To cover the same surface in-house you're not hiring one person — you're hiring a Data Cloud architect, an Agentforce developer, a senior admin, and a delivery lead, plus the recruiting time and the ramp before any of them ship value. Even if you could find them fast, that's four loaded salaries running before the first agent answers a customer. A fractional team compresses that to a fraction of one of those salaries because you share a bench instead of owning it, and you only pay for the depth a given quarter actually needs. The point isn't a brochure figure — it's that the in-house payroll math rarely pencils out until after the return is proven, which is exactly the wrong order to commit four salaries in.
What the same team does across the year
- Agent Ready — audit and unify your data on Data Cloud, and pick the single use case with the clearest, fastest payback.
- Agent Launch — build, test, and ship the first agent with guardrails, grounding, and human escalation wired in from the start.
- Agent Scale — once it proves out on a real metric, extend what works to new teams, channels, and use cases.
- Agent Care — run it: review real conversations, tune for drift, govern access, and report the number to leadership every quarter.
Where this fits — and where it doesn't
A fractional team is the right call when you have real Salesforce work and a metric to move, but not enough steady volume to justify four full-time specialists — or when your one admin is underwater on tickets and will never reach data readiness and AI on their own. It's the wrong call if all you need is a part-time hand to close a ticket queue; a staffing agency is cheaper for that, and we'll say so. We don't fill a seat. We take responsibility for a result.
Why our incentives point the same way yours do
A staffing firm earns more by sending more bodies; its incentive is to grow the invoice. Ours is the opposite. The further you go with us, the more of our fee is tied to the result the org produces — so the team you're renting is motivated to make itself efficient and then get out of its own way, not to bill more hours. That's the structural difference between buying time and buying an outcome, and it's the whole reason the build-and-run pieces stay under one roof: a team that has to live with the number it built can't afford to hand it to strangers. If you've got real Salesforce work and a metric to move but the headcount math won't pencil out yet, that's the conversation to have — start it at /start.
Frequently asked
How is a fractional team different from a Salesforce contractor or a staffing firm?
A contractor fills one seat and works a task list. A staffing firm bills by the body, so its incentive is to send more of them. A fractional team gives you the full range of skills — Data Cloud, Agentforce, admin, ops — as one accountable group that builds, runs, and reports on the metric, with our fee increasingly tied to the result instead of the hours.
When does a fractional team make more sense than hiring in-house?
When you have real work and a number to move but not enough steady volume to keep four or five specialists busy full-time — or when your one admin is buried in day-to-day and can't reach data readiness and AI. You get senior breadth immediately, without four loaded salaries running before the first agent ships and without the single-point-of-failure risk of one indispensable person.
Can a fractional team work alongside our existing Salesforce admin?
Yes, and it usually should. Your admin keeps owning day-to-day; we bring the skills they don't have the time or training for — Data Cloud modeling, Agentforce, governance, and reporting leadership actually trusts — and add capacity exactly where the org is stuck. The goal is to make your admin more effective, not to route around them.
What does a fractional Salesforce + AI team actually cost?
Less than one senior full-time hire, because you share a bench instead of owning it and pay for the depth the quarter needs rather than a permanent five-person team. As the engagement deepens, more of the fee shifts to being tied to the outcome the org produces. The honest answer depends on the metric we're moving — size it on the ROI calculator at /roi.
What if we want to bring it in-house later?
Good — that's a sign it worked, and we plan for it. Because we build on a clean, governed Data Cloud foundation and document what we ship, an in-house team can take the wheel without inheriting a black box. We're not trying to make you dependent. We're trying to move your number and leave you able to run it.
Ready when you are
Worth a
conversation?
Tell us one number you'd like AI to move. We'll show you how we'd do it, what it's worth, and how we'd tie our fee to getting you there.