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    Services

    Three ways to work together

    A focused diagnostic, a full rebuild, or an AI-native operating system. Each one builds on the last, or stands on its own.

    RevOps Diagnostic

    $10K · 2 weeks

    Find what’s costing you revenue.

    You know something’s off. Deals stall in the same stage. Three people give you three different pipeline numbers. Reports take a full day to pull together and nobody trusts them anyway.

    A Diagnostic gets you answers in two weeks. We pull your CRM data, interview your stakeholders, and deliver a roadmap that tells you exactly what to fix and in what order.

    What you'll walk away with:

    →CRM data audit with quality scoring across every pipeline stage
    →Stakeholder interviews across leadership, sales, marketing, and CS
    →8 revenue metrics benchmarked against your industry
    →Current-state process map of your lead-to-close flow
    →33/66/90-day roadmap ranked by impact and effort

    How it works:

    Week 1: CRM access, stakeholder interviews, data pull. We’re reading your pipeline like a diagnostic report.

    Week 2: Analysis, deliverables, and a presentation that doesn’t sugarcoat anything. You’ll know what’s broken, what it’s costing you, and what to do about it.

    Who this is for: You know something’s wrong with your pipeline but you can’t tell if it’s a process problem, a tools problem, or a data problem. Maybe you’re weighing a CRM migration. Maybe you’ve outgrown your spreadsheets but aren’t sure a full rebuild makes sense yet. Start here.

    Most Diagnostics surface 3–5 high-impact fixes. Some you can implement yourself that week. Others lead to a Revamp. Either way, the roadmap’s yours. No lock-in.

    RevOps Revamp

    $28K · 8 weeks

    We fix what the Diagnostic found.

    The Diagnostic tells you what’s broken. The Revamp is the part where it actually gets fixed. We rebuild the CRM, wire up the automation, document every process, and train your team to run the whole thing without us.

    What you'll walk away with:

    →CRM architecture that matches how your team actually sells (custom objects, properties, pipelines)
    →Automation that fires correctly: deal routing, lifecycle stages, handoff triggers, Slack alerts
    →Documented processes with clear criteria for every stage transition
    →Recorded walkthroughs for your team (not a knowledge dump in a Google Doc)
    →30 days of async support for the “wait, what about...” questions

    How it works:

    Weeks 1–2: Architecture design + quick wins

    Weeks 3–4: CRM rebuild + automation

    Weeks 5–6: Process documentation + integration

    Weeks 7–8: Training + UAT + handoff

    Every sprint ends with a status update in your client portal. No surprises.

    Who this is for: RevOps teams that know what’s broken and want it fixed by someone who’s done this 50+ times. Works especially well when you’ve outgrown your startup-era CRM but aren’t ready to hire a full-time RevOps person.

    Your team runs the system when we’re done. Everything’s documented so you’re not stuck with us. If you want continued improvements, there’s an optional $4K/month retainer.

    Flagship

    The AI-Native Blueprint

    $50K · 12 weeks

    Your team’s repetitive work, handled by AI agents.

    Right now, someone on your team is copy-pasting a deal summary from HubSpot, dropping it into ChatGPT, then manually pasting the response into Slack. Someone else is answering the same onboarding question for the third time this week because the answer lives in their head and nowhere else.

    The Blueprint turns all of that into a shared workspace where AI agents actually work. They’re trained on your processes, your terminology, your CRM data. Your team approves every action before it ships. Nothing goes out without a human saying yes.

    What changes for your team:

    →They ask for a deal summary and get it instantly. No tab switching, no copy-paste
    →10–15 task commands for the things they repeat daily: status updates, draft emails, pull reports
    →New team members get answers from your institutional knowledge, not a dusty wiki
    →Your team approves every AI action. They stay in control
    →You can actually answer “is this working?” with data, not vibes

    How it works:

    Weeks 1 to 3: Discovery. We map your workflows, tools, pain points, and design the agent architecture

    Weeks 4 to 7: Build. Agent scaffolding, skill authoring, CRM integration

    Weeks 8 to 10: Scenarios. Approval workflows, edge cases, team onboarding flows

    Weeks 11 to 12: Training, QA, documentation, production deploy

    Who this is for: Teams that have outgrown copy-paste AI but aren’t ready for a full-time AI engineer. Companies that want their institutional knowledge embedded in systems, not slides.

    We built this for a 10-person SaaS team. 20 agents, designed and deployed in under a week. Their team went from copy-pasting between HubSpot and ChatGPT to having AI agents that pull data, draft responses, and route tasks. All running on tools they control.

    Read the Eddiworks case study

    Under the hood: Built on VoltAgent (agent orchestration), Supabase (database, auth, storage), and your CRM. Your AI budget goes to actual AI work, not platform rent.

    After any engagement

    Optional $4K/month retainer for continued improvements, new workflows, and agent expansion. Everything's documented. You can stop anytime. No lock-in.

    Not sure where to start?

    Most engagements start with a conversation, not a contract. No pitch deck. No pressure. Just a real talk about where you are and what might help.