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We design, build, and run the connected operating systems behind product, engineering, and go-to-market teams at scale. The work between insight and execution stops living in spreadsheets, Jira exports, and a dozen disconnected tools. Trusted by Cisco, Autodesk, and Lyft to turn fragmented stacks into one system the whole company can run on.
Technology companies outgrow their tooling faster than any other sector. The stack that worked at 50 people quietly breaks at 500.
Roadmaps live in one tool, delivery in another, and the status leadership actually reads lives in a spreadsheet someone rebuilds by hand before every review. Engineering, product, and revenue teams each pick the tool that fits their corner, and the seams between them fill up with manual reconciliation, copy and paste, and Slack threads asking where the real number is.
None of it is a people problem. It is a systems problem. When the operating model is fragmented, every quarter feels heavier than the last, onboarding drags because nothing is documented, and the AI initiatives leadership wants stall because the underlying data cannot be trusted. We build the connected foundation that makes velocity sustainable, and that makes becoming AI-native realistic, because AI only compounds on data your team can trust.
Monday, Asana, Jira, and Sheets all claiming to be the source of truth
Manual status roll-ups rebuilt by hand before every QBR
Engineering data that never quite matches the deck leadership reads
Onboarding that takes weeks because the system is undocumented
Automations duct-taped in Zapier that break silently
AI pilots stalled on data nobody trusts
Independent research backs what we see inside fast-scaling technology organizations every week.
apps in the average enterprise, yet only 29% are integrated
MuleSoft / Salesforce, 2023 · source
of IT teams' time goes to building and maintaining custom integrations
MuleSoft / Salesforce, 2023 · source
average annual cost of failing to complete digital transformation
MuleSoft / Salesforce, 2023 · source
of the workday lost to coordination and tool-switching, not skilled work
Asana Anatomy of Work, 2023 · source
Every enterprise operates somewhere on this spectrum. We help you move to the next state, with the foundation to keep moving.
Most teams start here
Disconnected tools. Manual reconciliation. Spreadsheet sprawl. Data lives in a dozen places and teams work around the system instead of with it. Every quarter feels harder than the last.
Where our clients live
One operating system across teams. Clean data architecture. Workflows that match how the team actually works. Automation where it adds value. Reporting that reflects reality.
The AI decade
Connected systems plus the AI layer that compounds them. Predictive signal that works because the data foundation is clean. It only works on top of Connected Systems. There is no shortcut.
AI transformation firms will sell you Intelligent Operations on top of Fragmented Operations. The result is faster chaos. We build the connected foundation that makes the next state possible.
Not a tool selection. An architecture decision, mapped to how product, engineering, and go-to-market actually work.
The connected operating system that powers how your teams actually work, from roadmap to delivery to reporting, with one clean data model underneath.
Roadmap-to-delivery workflows, cross-team dependencies, and release readiness that leadership can see without a manual roll-up.
The handoffs between marketing, sales, and customer teams, connected to the systems your revenue data already lives in.
Smartsheet, Monday, Wrike, and spreadsheet sprawl, consolidated into one system. We have executed dozens of enterprise migrations and know what breaks.
Our forward-deployed AI engineers embed with your team to build the structured data and workflows that make AI deliver instead of producing faster chaos. Model-agnostic, never locked to one provider.
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Senior operators integrated with your team. We do not disappear after launch. We are there when the system needs to evolve.
A dam looks simple from the outside. Inside, it converts turbulent force into something controlled and dependable. The complexity lives inside the system. What your team experiences is clarity.
We map the friction. Where workflows break, where data lives, where the team is working around the system instead of with it.
We architect the connected system. The right tools, data structure, and ownership, mapped to how your team actually works.
We build, integrate, and migrate. Airtable, AI, custom code, and your existing stack. Your team is involved at every step.
We embed for ongoing operations. We document everything. You own the system. We are there when it needs to evolve.
manual workflows we have automated
given back per week, per team
enterprise systems shipped
five-star client reviews
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We are grateful for the success we’ve brought to our clients. They’ve been kind enough to share their experiences with you. Here is a small sample of the hundreds of testimonials and 5-star ratings we’ve received.
Focused scale, not freelancers
135 certified implementers, more than five times the next largest competitor. Depth across every workflow your business runs.
The re-sourcing guarantee
If a resource is not the right match, we get ahead of it and fix it. You never have to fight for a resolution. Finding the right person is on us.
Embedded, not parachuted in
We embed on your team and hold the institutional knowledge of your systems long after launch, through turnover and new complexity.
Forward-deployed AI engineering
We embed senior AI engineers to build the operational foundation that makes AI investments actually deliver, instead of layering intelligence on broken operations. We stay model-agnostic, so your strategy is never tied to one provider.
We rarely add. We consolidate. The goal is fewer tools doing more, connected by one clean data model, so the roadmap, delivery status, and reporting stop disagreeing with each other. Where a tool your engineers love is doing real work, we integrate with it rather than replace it.
An internal hire gives you one person's capacity and one person's knowledge, which walks out the door when they do. We bring 135 certified implementers across every workflow, document everything so the system outlasts any individual, and stand behind it with the re-sourcing guarantee. Many clients use us to build the foundation, then run it with a leaner internal team.
Yes. We build systems that work with the stack you already have, including Salesforce, Jira, GitHub, Slack, and your data warehouse, through supported integrations rather than brittle one-off scripts.
You do. We document the architecture, train your team, and hand over a system you control. We stay involved through the Embedded Partnership only for as much or as little as you want, from on-call expertise to ongoing evolution.
Access is role-based with a clear audit trail, built into the solution and configured during the build. We work directly with your IT and security teams through their review process. We are not a SaaS, so access controls live in what we build rather than a vendor toggle.
Most clients start with a 3 to 4 week Operations Diagnostic that maps current state and delivers a prioritized roadmap. A full build typically runs 3 to 9 months depending on scope, and 50% of the diagnostic fee is credited toward the build.
That is the point. AI deployed on fragmented data produces faster chaos. We build the structured operational foundation first, then layer AI where it compounds. We are forward-deployed AI engineers and stay model-agnostic, bringing the same systems-first discipline to AI that we bring to operations, with no lock-in to a single provider.
Change management is built into every engagement, not bolted on at the end. Our four-phase approach, Align, Design for Behavior, Enable, and Reinforce, defines the executive why, designs governance and role-based access in from the start, trains each team on its real workflows, and reinforces with adoption dashboards and 30, 60, and 90 day reviews. That is how engagements reach the outcomes leaders care about: around 90% active adoption, a roughly 75% drop in manual reporting, and the full retirement of shadow spreadsheets.
