Build · Front Office
Front Office Transformation
Marketing, sales, customer service, and the systems that connect them — designed, built, and handed off ready to run.
Start a conversationWhat we mean by front office
Front office is the part of the company that produces and protects revenue — marketing, sales, customer service, intake, and the systems and people that connect them. The work covers strategy, organization, technology, data, activation, and the AI layer increasingly woven through all of it.
In most companies, the front office has grown faster than the infrastructure supporting it. Channels are unmeasured, tools are duplicated, attribution is unreliable, teams are organized around legacy assumptions, and the cost of growth is rising for reasons no one can name. Front office transformation is the work of rebuilding that layer so the function can produce defensible numbers and absorb the next stage of growth without rebuilding again.
How we engage
Eight shapes for the work.
The integrated transformation engagement combines all of the components below into a single multi-quarter program. The seven components are also bought standalone, and most engagements start with one and extend into others as the operating model takes hold.
Front Office Transformation
The integrated engagement. Combines diagnostic, commercial model, team structure, technology, activation, customer path, and AI into a single multi-quarter program when the function needs to be rebuilt end-to-end with one accountable partner.
Front Office Diagnostic
The honest read. Where the function is, where the gaps are, what the path forward looks like. Time-boxed, written assessment, prioritized recommendations. Often the entry point.
Commercial Model Redesign
The operating model the rest of the work runs on. Go-to-market architecture. Segmentation. Channel strategy. KPI framework. The strategic layer that sits above execution and gives every downstream decision a defensible basis.
Team and Accountability Design
Org design. Roles and decision rights. Hiring specifications. Internal versus agency versus fractional sourcing decisions. The management system that holds the function accountable for what it produces.
MarTech and Data Rebuild
Stack selection and integration. CRM design and configuration. Data infrastructure. Attribution and analytics. The technical backbone underneath the function — built for enterprise visibility, not per-tool fragmentation.
Demand and Conversion Engineering
Demand generation, content, paid media, SEO, lifecycle, intake, conversion. The execution layer, run as engineering rather than as marketing creative.
Customer Path Architecture
Mapping and rebuilding the operational paths customers take from first touch to revenue. Drawn from existing data — CRM, intake, conversion analytics, behavioral signals — and rearchitected for clarity, speed, and instrumentation.
Agentic Operations
Conversational AI in customer service and intake. AI-driven call analytics. Agentic workflows for research, qualification, and outreach. Predictive forecasting. Configured against the actual operating environment, not the demo.
When companies engage us
Three patterns are common.
The function has outgrown its infrastructure.
Revenue grew, headcount grew, tools accumulated, and now nobody can produce a clean number. Attribution is broken, channel decisions are intuition-based, and the cost per acquired customer is rising for unknown reasons. The work is to rebuild the layer underneath the function so the function can produce defensible numbers again.
The platform is preparing for scale.
A founder-led or sponsor-backed business is preparing to expand — new locations, new geographies, new acquisitions. The current commercial infrastructure was built for the original footprint and won't survive the next one. The work is to redesign the architecture to absorb growth without rebuilding for every addition.
The portfolio company has a value-creation plan with a marketing line item.
A sponsor has invested behind a commercial thesis — same-store growth, channel optimization, AI activation, attribution improvement. The work is to translate that thesis into operating infrastructure within the deal's hold period.
What it's not
Engagements run on well-defined scope with named deliverables. They renew when the client is confident additional scope is warranted, not by default. The goal is infrastructure the client can operate — usually with an internal team we've helped specify and hire.
Deliverables are working systems: live websites, configured CRM instances, deployed AI agents, governance running on a real cadence. Documents accompany the work; they don't replace it.
Engagement shape
Front office engagements range from quarterly scoped programs (a single component, named deliverables, defined acceptance criteria) to multi-quarter integrated transformations spanning the full surface area. Most start with a focused scope and extend once the operating model is in place.
The staffing model is lean — typically one senior operator leading the engagement, with specialists brought in for specific workstreams when scope demands it. The work is AI-native, which is what allows a small team to deliver across the breadth of a transformation without the layered staffing of a traditional consulting structure.