Targeted engagement. Audit-first.
You built a platform that eliminates manual work for home builders. Refound does the same for the team running it — starting with an audit of where time is leaking.
Builders come to Spark to stop doing things manually. Most SaaS companies haven't applied that same thinking to how they run internally.
Spark's pitch is that builders shouldn't have to work around tools that don't fit their process. Your CS team is tracking account health in a spreadsheet. Your onboarding runs on a Notion doc and a Loom video. The tool that eliminates manual work for your customers hasn't applied that thinking internally.
You find out an account is at risk when they stop responding to renewal emails — not when usage dropped three months ago. By then, the conversation is already about cancellation. Without automated health monitoring, your CS team is always reacting.
Builder onboarding, renewal check-ins, support triage, pipeline reporting — these are repeatable, rule-based workflows. Every hour a CS manager spends manually reviewing accounts is an hour they're not having the conversations that actually retain and expand revenue.
Expanding from regional builders to production builders or breaking into the US market isn't a strategy problem — it's a throughput problem. If outreach is fully manual, growth scales linearly with headcount.
Built into your existing stack. No new platform. No six-month retainer. Working software in production.
An agent watches usage signals across your builder accounts — logins, feature adoption, support volume, last active date — and surfaces at-risk accounts before they go dark. Your CS team works from a prioritized list, not their gut.
New builders get a structured sequence of guided setup prompts, progress milestones, and escalation triggers when they get stuck. CS handles exceptions. The 80% of straightforward onboardings don't need a rep at all.
The most common builder questions — lot status, permission issues, data imports, integrations — get resolved by an agent with no ticket opened. Complex issues escalate with full context already attached.
An agent handles prospect research, personalizes outreach at scale, and flags deals that have gone cold. Your reps spend time on conversations, not sourcing.
These aren't generic AI use cases. They're based on what we know about SaaS operations at your stage and the workflows a builder CRM team actually runs.
We scope what to build during the audit. Not every company needs every one of these.
Audit. Build. Train. Every engagement follows the same structure. Most clients have working agents in production within 6–8 weeks.
We map every workflow at Spark that runs on manual effort, repeated logic, or a spreadsheet. CS, onboarding, support, sales, reporting. You get a prioritized list of what to automate first with ROI estimates on each — so you know what's worth building and what isn't.
We build agents directly in your existing stack — whatever tools your team already uses. Not a new platform to manage. Agents that monitor, respond, summarize, escalate, and act. Connected to your CRM, inbox, Slack, and data.
Agents fail when teams don't trust or know how to direct them. We run workshops specific to your workflows so CS, sales, and ops understand how to get the most out of each agent — and what to do when something goes sideways.
Tools don't build themselves into your workflow. We audit how your team actually works, design agents for those specific workflows, build them in your existing stack, and train your team to use them. You get working agents in production — not a ChatGPT subscription and a pile of prompts.
The audit is a fixed-fee engagement. Agent builds are scoped per workflow. We'll give you a specific number after the discovery call — it's typically less than one month of a CS manager's salary, and the time it recovers pays that back in under a quarter.
Most of our use cases are SaaS-native: account health monitoring, CS automation, onboarding sequences, internal reporting. The methodology is the same — we audit your ops, build in your stack, train your team. The outputs are specific to how your team actually works.
We audit first, then ship the first agent. Time recovered begins from deployment.
No. Agents live in your existing tools — Slack, your CRM, your inbox, your helpdesk. Your team manages them the same way they manage any workflow. We document everything and train the people who will own them.
Yes. The audit is its own deliverable — a prioritized map of what to automate and why. Some companies take that and build internally. Most come back to us to build because the audit surfaces more than they expected.
We don't write strategy decks. We build agents and train teams. Scoped engagement, clear deliverables, working software. Not a six-month retainer with a slide at the end that says 'explore AI opportunities.'
Thirty minutes. We'll tell you exactly what we'd audit at Spark and where we'd start. No deck. No pitch.