Varde Labs

We rebuild messy, multi-step onboarding into a single Process Street master workflow the client team can actually run. Typical scope: intake forms, contract generation, document routing, internal handoffs, and status visibility for the client. We integrate the tools that already exist in the stack (PandaDoc, Pipedrive, HubSpot, Google Drive, SharePoint) so data flows without manual re-entry. A recent Medicaid-workflow client went from a 70+ step manual process to one managed workflow that 3x'd their onboarding capacity, cut contract prep by 85%, and deferred 3 to 4 admin hires. Onboarding is where most professional services firms lose the most time, and it is where Process Street shines when the design is right.

Most firms do not need another tool. They need the tools they already have to actually work together. We map the real current state of a process, redesign it around Process Street as the operational backbone, and stitch the rest of the stack together with Zapier, Power Automate, or custom integrations. Example: a financial planning client where we rebuilt the entire client journey across Process Street, Power Automate, Notion, and Miro. Process Street handles traffic control. Power Automate does the heavy lifting. Notion and Miro hold the strategic context. One system where before there were four disconnected ones.

Approvals are where operational work quietly dies. We design approval and review workflows that make it obvious what is being approved, by whom, and when. Scope includes artwork and creative review, executive sign-off, compliance review, and commission approval. Example: a manufacturing client's commission approval process where we built the tracker, the approval logic, and a monitoring layer so the team could see work moving without status meetings. Another: a consumer goods R&D team running artwork approvals with segmented rounds (R&D, marketing, executive) and notification logic tuned to the way each group actually works.

AI works best embedded inside the real workflow, not bolted onto the side. We build AI copilots that run inside Process Street workflows and across the surrounding stack: drafting content in approval steps, triaging inbound requests, summarizing meetings into task lists, sweeping inboxes for unresolved commitments, updating CRM records from unstructured notes. The rule: AI handles the operational grind so people can spend their judgment on the work clients actually hire them for. Every AI layer we build has a clear scope, a human checkpoint where it matters, and an audit trail.

If a team is spending a full day a month pulling together a report, that is a workflow problem. We rebuild the reporting process around automated data collection, Process Street checklists for review and sign-off, and dashboards that pull from the source systems. A manufacturing client recovered 10 hours per month, a full day of operations time, when we moved their monthly reporting into an automated flow. The recovered time goes back into higher-value work, and data quality usually improves in the process.

A workflow that no one uses is worth nothing. We stay engaged past go-live to coach teams through adoption, observe where the real workflow diverges from the designed one, and iterate until the new system is how people actually work. This is the part most firms skip and the reason most automation projects stall. It typically runs 4 to 8 weeks after launch, depending on team size. We hand off with documented operating rhythms and a named internal owner who can keep the system healthy.