What we sequence.
Growth rarely stalls because of bad strategy. It stalls because the operating model that carried you to $50M can't carry $200M. AI doesn't fix that, it makes the gap measurable in months instead of years. We work in a specific order: decisions close, ownership lands, cadence forces closure, the workflows underneath get documented enough to scale. Then, and only then, does AI start compounding margin instead of attention. Five places we work, in roughly the order they need to be worked.
Where Engagements Start
Five advisory domains. One operating system underneath.
The capabilities below are how we work. The five domains are how engagements come in. Pick the entry point that matches what is stalling now.
Go-to-Market Growth →
Make growth repeatable.
Pipeline accuracy, forecast discipline, sales-marketing alignment, AI sales enablement.
Post-Acquisition Integration →
Capture the synergies the deal model promised.
Unify the operating model, eliminate politics, accelerate value capture after close.
Operating Model Change →
Reset the model for this moment.
Scaling-stage overhaul, pre-exit operating discipline, post-transaction restart.
Reorganizations →
Change the structure. Change the behavior.
Structural reorg, not staffing reduction. Decision rights, leadership layer, function stand-up.
AI Transformation →
From experimentation to production scale.
AI only creates value when it changes how work gets done. Hands-on builders, not advisors.
Not sure which domain fits?
Book a Diagnostic Sprint →Executive alignment & operating cadence
When the CEO is the default escalation path, leadership meetings are status updates instead of decision forums, and the board is losing confidence in execution velocity.
Typical Triggers
- Board pressure on execution velocity
- CEO transition or new leadership team
- Operating model misaligned with strategy
- Post-close integration stalling
- Company scaling faster than the operating model can support
What We Do
- Map organizational friction points
- Build decision rights framework
- Design and implement leadership operating rhythm
- Unblock stuck cross-functional initiatives
- Coach CEO on delegation architecture
What Changes
- Decision speed measurably improves
- CEO escalation volume drops
- Leadership team closes decisions independently
- Board conversations shift from problems to progress
How We Engage
We typically work alongside the CEO and sponsor for three to six months, embedded in the leadership operating rhythm.
Book a Diagnostic SprintRevenue engine & GTM acceleration
When revenue is growing but the GTM engine can't scale with it. Your revenue org operates as four departments instead of one system, and every reorganization makes things worse.
Typical Triggers
- Forecast missed multiple consecutive quarters
- Pipeline coverage looks healthy but conversion is collapsing
- Marketing and Sales blame each other
- New CRO/CMO inheriting a broken model
- Revenue scaling but GTM model breaking under the weight
What We Do
- Audit full revenue funnel with finance validation
- Clarify ownership at every handoff point
- Install pipeline discipline with weekly operating cadence
- Align compensation to actual business outcomes
- Build predictable revenue engine
What Changes
- Forecast accuracy improves from 62% to 89%
- Revenue org operates as a system, not silos
- GTM resets stop
- Board confidence increases
How We Engage
We partner with sales, marketing, and product leaders to diagnose constraints and build a scalable GTM model. Typical engagement: three to six months.
Book a Diagnostic SprintMission-critical execution
When a transformation, integration, or rapid scaling initiative cannot fail, and the current trajectory says it will.
Typical Triggers
- Post-acquisition integration drifting
- Major reorganization announced but not landing
- ERP, CRM, or platform modernization stalling
- Key talent leaving due to uncertainty
- Any initiative the CEO/sponsor says "cannot fail"
What We Do
- Design execution roadmap with clear milestones
- Assign single-threaded owners for each workstream
- Establish weekly forcing cadence with decision gates
- Manage cross-team dependencies
- Build communication rhythm to reduce uncertainty
What Changes
- Initiatives land on time
- Voluntary attrition drops
- Revenue growth resumes
- Organization scales without breaking
How We Engage
We work alongside your project leadership to provide real-time execution support, coaching, and accountability, without taking over their authority. Duration depends on project scope.
Book a Diagnostic SprintAI-enabled operating model
95% of AI projects fail. (MIT State of AI in Business 2025.)
The board is asking where the AI value is. The honest answer is somewhere on a roadmap that hasn't moved in two quarters. The vendors who pitched you in Q1 are blaming change management. The team is blaming the tools. The CFO has stopped writing checks.
This is almost never an AI problem. It's an operating-model problem the AI was supposed to paper over.
We fix the operating model first, then ship AI where the margin lives. The sequence is the difference between 3.8x to 5.1x ROI and a sunk cost.
Typical Triggers
- AI pilots stuck in experimentation, none reaching production
- Tool sprawl with no measurable productivity gains
- Board and executives asking "where is the AI ROI?"
- Operations not ready for AI, broken workflows getting automated
- Scaling fast but AI can't compound value on broken foundations
What We Do, In Order
- Audit the AI portfolio. Which pilots stalled on model quality, and which on a workflow that was already broken? Cut the second pile.
- Fix the workflows worth fixing. Decisions close. Ownership is named. The work the model plugs into gets documented. VOOCS at the workflow level.
- Ship AI where the margin lives. Production deployments measured against revenue or margin, not adoption metrics.
- Build the AI operating model. Governance tied to outcomes. Vendor rationalization. A roadmap your CFO will defend, not apologize for.
What Changes
- Operations running efficiently before AI is deployed
- Measurable margin expansion from real productivity gains
- AI adoption tied to business outcomes, not vanity metrics
- Board sees clear AI ROI and compounding value creation
- AI implementations in production, not stuck in pilot
AI we've built and deployed
Voice AI sales training agents with sub-500ms latency, AI virtual agents for customer support, AI knowledge assistants on Copilot Studio + AWS Lambda, AI-powered call center QA scoring 100% of calls, and AI service desk swarms built on LiteLLM + MCP.
How We Engage
We partner with your CTO, CFO, and business leaders to build a clear AI capability strategy and execution plan. Two to six months.
Book a Diagnostic SprintProfessional services optimization & automation
When services margins are flat or declining, utilization is inconsistent, delivery quality varies by team, and your PS tech stack can't keep up with the business.
Typical Triggers
- Flat or declining services margins
- Inability to scale delivery without adding headcount
- Inconsistent delivery quality and client outcomes
- PSA technology outdated or underutilized
- Resource utilization below industry benchmarks
What We Do
- Assess PS strategy, go-to-market, and delivery execution
- Optimize resource management and utilization
- Select, deploy, and adopt PSA technology
- Design scalable delivery processes and practices
- Define AI roadmap for services operations
What Changes
- Services margins improve measurably
- Utilization reaches industry-leading benchmarks
- Delivery quality becomes consistent and scalable
- Revenue and resource forecasting becomes reliable
- PS operates as a profit center, not a cost center
How We Engage
Our PS optimization team works alongside your services leadership to assess, design, and implement improvements across strategy, operations, and automation. Engagements typically run three to six months.
Book a Diagnostic SprintPrinciples
The Two Laws
Decisions Before Data
Most organizations wait for perfect data before deciding. The best operators decide what decision needs to be made, then determine what data they need.
Commitments Before Scale
Pre-commit to scaling before you pilot. If "success" means "we'll discuss next steps," the pilot is already dead.
Not sure which problem to start with?
That's what the first conversation is for. Tell us where you're stuck. We'll tell you exactly what we'd do about it, and what it's costing you to wait.
Book a Diagnostic Sprint