What we do
Most AI programs chase efficiency. We work where the advantage compounds.
Cost takeout is real, and it's where the market has concentrated because it's the easiest thing to underwrite. The harder question is which problems, solved with agentic systems, change your growth trajectory and competitive position rather than short term efficiency gains. That's the work.
Tangible impact
We design, build, and steward
Growth & Co delivers working systems, not roadmaps for someone else to implement. On most engagements we build them. On all of them we hold the product management seat, or sit alongside the person who does — from framing the problem through production and into continuous improvement.
That's the constant. Whether the code comes from our team, yours, or both, someone accountable for the outcome is stewarding it end to end. No handoff at the point where strategy becomes system, which is where enterprise programs usually lose their intent.
Diagnostics
We start with evidence
Organizations arrive at this in very different states. Most have working pilots and struggle on their paths to scaling. Some have production ready agentic solutions and an operating model that hasn't caught up. Some have neither and are just getting started on their agentic journey.
What's common is that the constraints or challenges aren't where people expect them. Often they sit in the foundations — data that can't be retrieved, decision rights nobody can name — rather than in the development itself. And sometimes it's in the context and orchestration layers that weren't designed for a natively agentic solution. In all of these cases, the next build isn't the next move.
Every engagement opens with a read on where you actually stand — not a self-assessment, and not a benchmark deck.
Capability diagnostics assess maturity across a structured set of business and technical best practice dimensions -- against observable signals, so the findings reflect what the organization is actually doing.
Benchmarks and Meta-analysis map performance against best practices, what drives relative impact, across comparable organizations, which is sometimes what it takes to turn a suspected problem into a funded one. By leveraging our indices of third-party benchmarks and datasets rather than relying on any single source, we avoid bias and produce a more accurate validation of where the real gaps and opportunities sit.
Combining real world expertise, best practices, and benchmarks, we narrow the field fast. Most organizations have more identified opportunities than capacity to pursue them, and the constraint is rarely a shortage of ideas. It's knowing which few matter.
Capabilities
What we build
Agentic systems
We identify where agentic systems create meaningful impact and durable advantage, then design and build them in production — inside your architecture, your data environment, and your compliance requirements.
Solutions are built using modern approaches, including leveraging a library of components that we can configure to each client context rather than always building from scratch, which shortens time to impact and compresses the learning curve for your team. Each system includes an operational control tower, tracking adoption, usage, capacity freed, and business impact from the moment it goes live.
Agentic reasoning isn't the only tool, and it isn't always the right one. Where the problem calls for a predictive or optimization model — propensity, next best action, reinforcement learning against a live feedback loop — we build that and connect it to the workflow that acts on it.
Operating model
A system that runs without changing how decisions get made and how work gets done delivers nothing. We redesign the operating model around the solution — the functions and roles whose work changes, the processes, the decision rights, the charters, and the sequencing.
This extends to refining organization and role changes: defining the teams, writing the role definitions, and implementing the model rather than merely recommending it.
Adoption and change leadership
Enterprise AI programs fail at adoption far more often than at engineering. Change work starts on day one of every engagement, not after the build.
That means the leadership sponsorship approach, the cascading communications strategy, and the enablement work for every function whose way of working changes — carried through to the point where the system is simply how the work gets done.
The right fit
Who we work with
We work on customer-facing growth — the revenue engine and everything that determines whether it performs.
That means the executives accountable for growth outcomes: business unit and P&L owners, and the functional leaders in sales, marketing, service, and customer experience. Where the systems, data, or operating model underneath the front end experience and workflows must change to create or accelerate value in new ways. That's our sweet spot. We're happy to discuss other use cases but often will choose to stay in and adjacent to our core lane.
Domains
Where we apply it
We work on the workflows that drive growth — from strategy and planning through the execution of those plans. That means marketing, sales, service, and customer and partner experience: the work that determines who a company sells to, how it reaches and persuades them, what it can bring to market, and how well any of it performs. Agentic solutions reimagine that work rather than digitizing it, using your data, reasoning over it, and orchestrating across your existing tools to build fit-for-purpose systems that augment your systems of record rather than replace them. Because these systems reason over your own material, work downstream stays accountable to what was decided upstream.
- 01
Marketing. One workflow from the annual plan to the campaigns in market and back again: planning, briefing, content generation, creative and channel execution, demand and capacity management, and the analytics and feedback loop that closes the cycle. Value leaks throughout — in the handoffs, and inside the steps, where there is no operational view to enforce a standard, train against it, or coach toward better decisions. LLMs have concentrated hardest here and there are good off-the-shelf tools; where one does the job, it's incorporated as part of the solution. We come in to augment it into something fit for purpose, and where the end-to-end workflow is connected. A briefing agent, for instance, reads a proposed objective against the standing strategy and the current OKRs — and where it doesn't line up, says so, with recommendations for closing the gap. Upstream decisions stay live in the downstream work rather than sitting in a document nobody reopens.
- 02
Sales. Tools embedded in a workflow for sales reps and leaders that is seamless, predictive, and effective enough to become second nature. Account prioritization and dossiers assembled automatically rather than a scramble just before a call. Assets and talking points generated and personalized against a specific opportunity where none existed previously. Sales plays prompted at the moment they apply rather than published and forgotten. Field notes that take seconds and feed active follow-up instead of a dormant CRM field. For leaders: stuck deals flagged, the largest opportunities and anomalies surfaced, and coaching specific enough to act on. The design standard is that using these tools is easier than not — adoption follows from the solution being better than the workaround, not from a mandate.
- 03
Customer, partner, and B2B experience. What happens after the sale — for consumers, for business customers, and across the distribution relationships that carry a large share of enterprise revenue. Onboarding, inquiry to resolution, servicing, renewal: workflows where the context a customer already gave you is stranded in a system the next person can't see. In B2B that extends to the buying group rather than the individual, and to broker, agent, and advisor enablement for populations that don't work for you and won't adopt anything cumbersome. Where the process carries audit requirements, that's where the control environment does most of its work.
Planning and operating models
The three above are the work. These two are what the work runs on: what the organization is trying to achieve, and how it is built to achieve it.
- 01
Strategy, planning, and goal architecture. How objectives get set, cascaded, and connected to the work that delivers them — across the enterprise, not inside any one function. A planning process that produces a solid first draft normally takes weeks: the owner of the artifact convenes meetings, works through documents nobody has read together, and reconciles inputs by hand. The agentic version produces that first draft in minutes for people to react to and refine, and it is usually the more considered draft, because it takes in more of the available evidence and reasons more thoroughly than any individual could. From there: objectives connected to the plans and workflows beneath them, progress visible without a reporting exercise, and the reasoning behind a change captured where the next stakeholder will find it. This is the evolution of business planning infrastructure rather than a tool for a single function, which is why it applies wherever planning happens.
- 02
Operating models for go-to-market
How marketing, sales, and service are built and how they make and operationalize decisions: the functional architecture, the charters, the decision rights, and the systems that carry the work. Systems change what's possible; the operating model determines whether the organization can actually run them. This shifts the engine from a set of disconnected teams, tools, and handoffs to an effective operating system — and builds the leadership model to sustain it.
Marketing
The operating rhythm from planning through execution, and the shift from running campaigns to running a growth engine. The cross-functional execution model, and how creative and channel decisions get made on evidence rather than opinion. How work is prioritized against real capacity. And a measurement loop that holds people accountable for outcomes rather than activity.
Sales
Establishing or evolving Revenue Operations and Sales Enablement, and how performance accountability is managed across the organization. The forecast cadence and what it is actually built on. And the operating rhythm once coaching is driven by recommendations rather than search — when a manager arrives at a one-on-one already knowing which deals need attention, the cadence, the preparation, and the conversation all change.
Service
Escalation paths and the ownership of a customer issue across teams and across the journey. How much of the journey resolves itself before a person is involved, and what the human model becomes when it does. And how service intelligence becomes actionable across functions — so that what service learns shapes what marketing promises and what sales sells, and the customer experiences one journey rather than three.
Fit
Where we fit
Growth focus over efficiency. Efficiency work is real and we'll do it where it matters. But if the mandate is purely cost reduction, there are firms better structured for it.
Senior change agents. We work with executives who own an outcome and have the standing to change how their organization operates — not with a mid-level owner of an innovation mandate and no authority to act on it.
Partnership, not transaction. Few clients, large engagements, long relationships. If what's needed is a defined scope delivered at arm's length, that's a different kind of firm.