A forward-deployed AI engineer from Flywheel joins your Sales, RevOps and engineering teams and puts one process into production, then the next. Would you rather we run it, or build a system you own? There is a lane for that too.
Four Ways to Work With Us
Every lane gets the same RevOps depth and the same Claude work. What changes is who runs the system day to day and where it lives. Embedded puts the engineer inside your team, and the other three fit when you would rather we run it, own it outright or keep the work inside HubSpot.
Your stack, our expertise
From$3K/month
Monthly retainer
RevOps and GTM consulting inside the HubSpot and tools you already run, on a monthly retainer, for teams that need an expert operator more than new software.
We run it for you
From$5K/month
Scale at $10K a month
We run your go-to-market on Konsil, our agent platform, on top of your HubSpot, with agents doing the repeatable work and your team approving what ships.
Yours to keep
From$15Kbuild
Support from $3K a month
We build the AI system in your own accounts, with Claude, skills and agents in your repo and HubSpot as the system of record, and then your team owns and runs it.
Inside your team
From$12.5K/month
Monthly program
A forward-deployed AI engineer from Flywheel joins your revenue team and ships one process at a time in your own stack, reviewed by your engineers like any other change.
The expertise is the same in every lane. What changes is who runs the system, where it lives, what you keep and what it costs to start.
Advisory
Managed
Owned
Inside your team
Embedded
Which Lane Fits
Most first calls start from one of these five situations. Pick the one that sounds most like your team, and we will show you the lane we would recommend and what happens first.
Our recommendation
From $12.5K/mo
Embedded fits. You have more AI work than your team has hands for, so a forward-deployed AI engineer from Flywheel joins your Sales, RevOps and engineering teams and ships one process at a time.
What happens first
A 30-minute scope call picks the first process. In week 1 we shadow the people who run it today.
Our recommendation
From $3K/mo
Advisory fits, because the work is HubSpot admin, workflows, reporting and data cleanup inside the stack you already run, on a monthly retainer with no new software for your team to learn.
What happens first
We review your portal and agree the first month of work in writing.
Our recommendation
From $5K/mo
Managed fits, because Konsil sits on top of the HubSpot you already run and we operate the agents that handle enrichment, outreach, programs and reporting while your team approves what ships.
What happens first
Phase 0 cleans up HubSpot first, and then the first agents go live in sales or marketing.
Our recommendation
Builds from $15K
Owned fits, because governance rules, an acquirer or exit value mean the system has to live in your accounts, so we build it there with Claude, skills and agents in your repo and then hand it over.
What happens first
We scope a fixed-fee build and agree what your team will run after handover.
Our recommendation
From $3K/mo
Start with Advisory. Managed runs on top of HubSpot, so we first set HubSpot up as a clean system of record and offer Managed once that foundation is in place.
What happens first
We plan the HubSpot setup or migration and the data cleanup that comes with it.
Team by team
We start with one revenue process and prove it in production. Then the same approach moves to the next team, which is trained as its first workflow goes live. Past go-to-market, these are the teams it can reach next.
Finance & Accounting
Invoice tracking, overdue alerts, revenue analytics, expense monitoring, and financial reporting pulled from your books.
People Ops & HR
Candidate screening, onboarding workflows, engagement tracking, and policy compliance.
Legal & Compliance
Contract parsing, compliance monitoring, SOP enforcement, and risk flagging.
IT & Infrastructure
System health monitoring, integration management, security alerting, and vendor tracking.
Executive Intelligence
Board deck generation, KPI dashboards, market intelligence, and planning support.
When we run it for you
In the Managed lane we run your repeatable go-to-market work on Konsil, the agent platform we built. Your team keeps its HubSpot, sets the direction and approves what ships, and we keep the whole system running.
Agents read from and write to the HubSpot you already run, so nothing moves to a new CRM or a side database.
Agents in four nodes, for marketing, sales, customer success and operations, research, enrich, draft, score and report.
Anything that writes to your CRM or reaches a customer waits for a person on your team to say go.
We set Konsil up, run the agents and tune them with you, so your team gets the output without another platform to administer.
Konsil connects to Claude, OpenAI, Grok and other leading models. Most of what we build runs on Claude, and we implement it end to end.
Inside Konsil
Four groups of agents share one context, so a signal the marketing agents catch reaches sales, success and reporting without anyone copying it between tabs.
A signal agent watches your ICP for hiring, funding and tech-stack moves, hands warm accounts to a prospecting agent for enrichment, and feeds an outreach agent that writes sequences in your voice while it keeps HubSpot clean behind it.
Signal, SEO, content and analytics agents run as one loop: the signal agent surfaces what to say, the content agent drafts it in your brand voice, the SEO agent tunes it, and the analytics agent reports what actually performed.
Health scoring, churn detection, onboarding and renewal prep, watching engagement signals so your team hears about an at-risk account weeks before the renewal instead of the week of.
Data quality enforcement, automated reporting and process monitoring keep HubSpot a clean source of truth, because agents are only as good as the CRM data they act on, and we have cleaned up 400+ CRMs.
Tell us what your stack looks like and what you need off your plate. We will recommend one lane with a starting scope and a price, even when the honest answer is that you are not ready for AI yet.