Practice areas
What we do
Eight disciplines held by one team. Most engagements draw on three or four of them at once, because the problems rarely arrive sorted into categories.
01 — Security & Systems
Security Technology Strategy
Security technology gets bought in fragments — a camera refresh here, an access control migration there, each justified on its own and none of them adding up to a program. We start from the threat picture and the operating reality, then define what the technology has to accomplish before anyone talks about a product.
Vendor selection is run as a structured evaluation with weighted criteria you set in advance. That protects you from buying the best demo, and it gives you a defensible record when someone asks why.
- Threat and risk framing tied to actual assets and operations
- Target-state architecture for physical and cyber-physical systems
- Requirements definition, RFP support, and structured vendor evaluation
- Phased capital and operating roadmap with cost ranges
- Standards and design guidelines for multi-site consistency
Typical engagement: 6–12 weeks, delivered as an architecture, a sequenced roadmap, and a decision package for leadership.
02 — Security & Systems
Systems Integration & Architecture
Access control, video management, visitor systems, CRM, ERP, ticketing, and field service platforms were almost never bought with each other in mind. The result is duplicated data, manual re-entry, and reporting that nobody fully believes.
We define how these systems should exchange information, what the system of record is for each object, and who owns the integration when it breaks at 2 a.m. Then we drive the build with your internal team and your vendors.
- Current-state system and data-flow mapping
- System-of-record definitions and data governance model
- Integration architecture, middleware selection, and API strategy
- Vendor and internal team coordination through build and test
- Runbooks and ownership model for ongoing support
Typical engagement: 8–16 weeks, often running alongside a platform migration already underway.
03 — Security & Systems
Final-Mile Optimization
The integrator closes the project. The invoice is paid. And then the system sits at a fraction of what it can do, because nobody owned the transition from installed to operational.
This is the work between commissioning and competence: verifying the system does what was specified, tuning it to the environment, writing procedures people will actually follow, and training operators on the job they have rather than the manual they were handed.
- Independent commissioning and as-built verification against the design
- Configuration tuning, alarm and alert rationalization, false-positive reduction
- Standard operating procedures and post orders written for the actual site
- Operator and administrator training, plus a train-the-trainer path
- Punch-list management and vendor accountability through closeout
Typical engagement: 4–10 weeks per site or region; frequently the highest-return work we do.
04 — Security & Systems
Operational Due Diligence
For investors and acquirers evaluating security technology firms, integrators, or asset-heavy operators, we assess what the data room does not show: the condition of the systems, the durability of the revenue engine, and the deferred work sitting behind both.
Findings are written for an investment committee — quantified, prioritized, and separated into what changes the price, what changes the plan, and what is simply noise.
- Security posture, systems debt, and remediation cost estimates
- Revenue operations review: pipeline integrity, forecast reliability, concentration risk
- Platform and integration assessment, including license and contract exposure
- Key-person and capability dependency analysis
- First-100-days operating plan for the post-close team
Typical engagement: 2–5 weeks, scoped to the diligence window and confidentiality requirements.
05 — Commercial & Operations
Revenue Process Design
Complex security and infrastructure solutions are sold through long, multi-stakeholder decisions. Sales processes built for transactional products break under that weight — stages stop meaning anything, forecasts become negotiation, and performance rests on a few individuals.
We rebuild the process around how your buyers actually decide, with exit criteria that are observable rather than optimistic, and enablement that makes good practice the default rather than the exception.
- Buyer-aligned stage definitions with verifiable exit criteria
- Qualification framework and deal review cadence
- Forecast methodology you can defend to a board or lender
- Territory, quota, and compensation structure review
- Enablement assets, onboarding path, and manager coaching model
Typical engagement: 8–14 weeks, with a hands-on adoption period after rollout.
06 — Commercial & Operations
Salesforce & CRM Optimization
A CRM stops being useful the moment people stop trusting it. Usually that happens gradually: duplicate records, required fields nobody fills honestly, reports that contradict each other, and a parallel spreadsheet that becomes the real system of record.
We treat the platform as the last step, not the first. Process gets fixed, then the configuration reflects it, then the data gets cleaned and kept clean by design rather than by discipline.
- Data audit, de-duplication, and enrichment with ongoing hygiene rules
- Object model, field, and permission cleanup aligned to the process
- Workflow and approval automation that removes manual steps
- Reporting and dashboard build for reps, managers, and executives
- Adoption plan, training, and post-launch usage monitoring
Typical engagement: 6–12 weeks; we work with your admin or partner rather than replacing them.
07 — Commercial & Operations
Go-to-Market Strategy
For manufacturers, integrators, and service firms entering a new segment or repositioning an existing one, the question is rarely whether the offering is good. It is whether the market has been defined narrowly enough to win, and whether the sales motion matches the way that market buys.
We size and segment the opportunity, sharpen the positioning against the alternatives a buyer is genuinely weighing, and build the channel and pricing structure to support it.
- Segmentation, sizing, and ideal-customer definition
- Positioning and messaging tested against real competitive alternatives
- Pricing structure, packaging, and margin architecture
- Channel, partner, and direct-sales coverage model
- Launch plan with milestones and leading indicators
Typical engagement: 6–10 weeks, often followed by execution support through first launch.
08 — Commercial & Operations
Data, Analytics & AI Enablement
Most organizations do not have a data shortage. They have a definitions problem — three departments computing the same metric three ways, and a monthly meeting spent reconciling instead of deciding.
We define the measures once, build the reporting that leadership will actually open, and give you an honest read on where machine learning and AI earn their place in your workflow. Sometimes the answer is a model. More often it is a cleaner process and one reliable dashboard.
- Metric definitions and a single source of truth for reporting
- Executive and operating dashboards built around real decisions
- Data quality assessment and remediation plan
- AI and automation opportunity assessment, scored by value and feasibility
- Pilot design and evaluation criteria before any platform commitment
Typical engagement: 4–12 weeks depending on data condition and scope.
Not sure which of these you need?
That's a normal place to start. Describe the symptom and we'll tell you honestly whether it's a problem we're right for.