Accountability, not just delivery
A Salesforce partner that owns the number, not the ticket
Most Salesforce implementation partners are paid to ship a build, then leave you to make it pay off. We flip that. SkySync designs, builds, and runs your Salesforce and Agentforce environment with our fee tied to the outcome it produces — so go-live is the start of the engagement, not the exit.
The handoff is where most implementations die
Here is the part the SOW skips. A typical partner scopes a project, configures the org, runs UAT, and bills the milestone. The moment users log in, the relationship inverts: every gap is now a change request, every adoption problem is your problem, and the partner who knew the build best has rolled off to the next account. The system technically works. The number it was supposed to move often doesn't. We treat that gap as the actual job — not an upsell.
What 'owns the outcome' means concretely
- We agree on the business metric before we touch the org — pipeline conversion, case deflection, speed-to-lead, rep capacity — and instrument it so it's measurable in Salesforce, not in a slide.
- A meaningful share of our fee is tied to that metric moving, not to story points delivered or hours burned.
- We stay on after go-live to run the system — tuning, retraining, adoption — because a model and a build both drift the week real users touch them.
- If the number doesn't move, that's our problem to fix, contractually. That's a very different conversation than a change order.
Data before agents — the order most projects get backwards
Buyers ask us to 'add Agentforce' the way they'd add a feature. But an AI agent is only as good as the data and definitions underneath it. Drop an agent on top of duplicate accounts, stale field history, and undocumented process and you get confident wrong answers at scale — which is worse than no agent. Our Data-to-Agent method runs in sequence: Agent Ready (get Data Cloud and your model trustworthy), Agent Launch (ship a narrow, high-value agent), Agent Scale (expand what works), Agent Care (run and improve it). The unglamorous Ready phase is usually where the real ROI is won or lost.
Built by people who built Agentforce
Our founder was a Senior PM at Salesforce who helped build Agentforce — so you're not paying us to learn the product on your time. That matters most in the trade-offs: when a native feature will get you 80% there, when a custom build is justified, and when the honest answer is 'don't automate this yet.' A partner that only sells configuration rarely tells you the last one.
How a typical engagement is shaped
- Week one is a baseline, not a kickoff deck — we measure where the target metric sits today so 'better' is provable later.
- We scope the smallest build that can move it, ship that, and prove it before expanding. No 18-month big-bang.
- We run it in production alongside your team and hand over clean documentation and a model you actually own.
- Pricing is structured so we win when you do. If you want to see the math on your own numbers first, the ROI calculator at /roi is a fair place to start.
Frequently asked
How is an outcome-tied fee actually structured — isn't that just risk-shifting language?
It's structured against a metric we both agree is measurable in your Salesforce data before work begins, with a baseline captured up front. A defined portion of our fee depends on that metric moving. We're transparent that we won't tie fees to numbers we can't influence or instrument — if the data to measure it doesn't exist yet, fixing that is part of the Agent Ready phase before any performance terms apply.
We already have a Salesforce admin and an existing partner. Where do you fit?
Often on the run-and-accountability side rather than replacing them. Plenty of orgs have a capable admin and a partner who delivered a build, but no one whose job is to make a specific number move and keep it moving. We can come in on that mandate — own a metric, run the AI layer, and work alongside your existing team rather than re-platforming what already works.
Do we have to adopt Agentforce and Data Cloud to work with you?
No. We'll tell you honestly when an AI agent isn't the right move yet — sometimes the highest-ROI work is cleaning up data and process so a later agent actually pays off, and sometimes a standard automation beats an agent outright. We don't force Agentforce into a problem it doesn't fit. The method starts with what moves your number, not with a product.
What proof do you have that this works?
We're deliberately careful not to dress up case studies we can't stand behind. What's real: a founder who built Agentforce at Salesforce, the outcome-tied fee model, and live work like our Green Subsidy solar engagement using speed-to-lead AI on Salesforce. We'd rather show you the method and run a baseline on your own data than quote someone else's numbers at you.
How long until we see results?
We design for an early, narrow win rather than a long build before any value lands. The Agent Launch phase targets one high-value use case you can measure against the week-one baseline, then scales from there. The exact timeline depends on the state of your data going in — which is precisely why we assess that first instead of promising a date in a pitch.
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.