Services

Whatever the work, we've got the tools and the team for the job.

How we run every engagement
Who we serve

ArcCentrx works with enterprise and mid-market companies facing transformation, scale, transaction, technology, and operating challenges.

01·AI Strategy

Can you show what your AI spend has returned?

Most companies know their AI budget to the dollar. Very few can show what came back. The licenses renew, the pilots keep running, and the operating numbers look about the same as they did two years ago. Before the next round of investment gets approved, a few questions are worth getting straight answers to.

Questions worth answering
  • What are we actually spending across licenses, infrastructure, and the people maintaining it?
  • Who is using it, how often, and for what? What did we buy twice?
  • Which workflows changed, and which ones look the same as they did before?
  • If we had to defend the ROI to the board next quarter, could we?
What we deliver

Answers backed by numbers rather than opinion. We fix what is broken, cancel what is not paying for itself, and build an operating model around the parts that work.

What's inside
  • AI spend and utilization audit
  • Use case prioritization
  • Workflow redesign
  • AI remediation and consolidation
  • Model governance and risk controls
  • Build versus buy evaluation
  • Team enablement
02·Growth Strategy

When the number stops moving, more pipeline is rarely the fix.

The constraint usually sits upstream of pipeline. Pricing set years ago and never revisited. A segment that was never really a fit. Deals lost in the handoff between marketing and sales. A product that converts well everywhere except the markets you are spending in. Finding the actual constraint takes an honest read of data you already have.

Questions worth answering
  • Which segment actually converts, retains, and expands? Are we spending there?
  • Where in the funnel does the loss happen, and do we have the data to know?
  • Is pricing a reflection of value or a reflection of history?
  • What would have to be true for the next market to work?
What we deliver

A growth plan built on what your operating data actually shows, and the sales infrastructure to run it.

What's inside
  • Segmentation and ICP
  • Pricing and packaging
  • Sales infrastructure and CRM
  • Funnel and conversion analysis
  • Demand generation
  • Market entry and expansion
  • Partnership and channel strategy
  • Brand and positioning
03·Technology Infrastructure

Architecture decisions set your ceiling for the next three years.

Payments, ledgers, KYC, sponsor bank relationships, data architecture. These get handled as vendor selections, and they are bigger than that. A choice that works fine at fifty thousand customers gets expensive at five hundred thousand and dangerous above a million. Our team has built and run this kind of infrastructure at American Express, Square, Citibank, Apple, and Walmart.

Questions worth answering
  • Does our architecture survive 10x volume, or do we already know where it breaks?
  • Can we add a product, a market, or a partner without adding a vendor?
  • Where does customer and payment data live, who can reach it, and can we prove that?
  • What in our stack is a decision we made once and never revisited?
What we deliver

Help making these calls from people who have lived with the consequences of making them, and who stay through the build.

What's inside
  • Architecture and scalability review
  • Payments and ledger design
  • KYC and onboarding infrastructure
  • Sponsor bank and partner strategy
  • Data architecture and residency
  • System rationalization and consolidation
  • Build versus buy and vendor selection
  • Platform migration delivery
04·Operational Optimization

Throughput, quality, and cost, measured before and after.

Cutting cost is easy. Cutting it without damaging the business is the hard part, and it depends on knowing which steps create value and which ones survive only because of a decision nobody has revisited. We measure first and change what the measurement points to.

Questions worth answering
  • What does a unit of our work actually cost, end to end?
  • Which steps in this process would a customer pay for if they saw the invoice?
  • Where does rework come from, and how often?
  • What have we automated on top of a process we should have redesigned?
What we deliver

Process changes with a baseline and a documented result, so the improvement still holds up six months later.

What's inside
  • Process mapping and redesign
  • Cost to serve analysis
  • Cost takeout
  • Quality and rework reduction
  • Automation assessment
  • Vendor and spend rationalization
  • Service delivery model design
05·M&A Readiness and Integration

Most deal value is won or lost after the close.

The first ninety days after a transaction are usually the ones nobody planned for. On the sell side, that means having the house in order before the first diligence request arrives instead of assembling answers against a clock. On the buy side, it means knowing what you are inheriting and having an integration plan that holds up once two real organizations start working together.

Questions worth answering
  • If diligence started next month, what would we be scrambling to produce?
  • What in the target's stack, contracts, or compliance posture becomes our problem on day one?
  • Who owns integration, and is that a real role or a second job?
  • What synergies did we underwrite, and how will we know if they landed?
What we deliver

Readiness work that improves what a buyer sees, and integration work that protects what a buyer paid for.

What's inside
  • Sell side readiness and data room preparation
  • Buy side technology and operations diligence
  • Integration planning and execution
  • Systems and platform consolidation
  • Org and role mapping
  • Synergy tracking
  • Carve out and separation support
06·Compliance and Governance

Being regulated should not mean moving slowly.

In healthcare and financial services, compliance is where roadmaps stall. The regulation itself is rarely the problem. What costs you time is finding out about a requirement late, handling every control as a one off, and rebuilding audit evidence by hand each cycle. Teams that have been through it before design for audit up front and keep shipping.

Questions worth answering
  • Is compliance built into how we ship, or is it a scramble before every audit?
  • Which deals or partnerships are we losing to a certification we don't have yet?
  • Who owns governance for the AI and the data we've put into production?
  • If a regulator, acquirer, or partner asked for evidence tomorrow, how long would it take?
What we deliver

Controls, documentation, and governance that let you answer in days instead of quarters, and that make the next audit cost a fraction of the last one.

What's inside
  • SOC 2
  • HIPAA
  • PCI
  • ADA and accessibility
  • State licensing
  • Model and AI governance
  • Control design and evidence automation
  • Audit readiness and remediation
  • Third party and vendor risk
  • Policy and documentation
07·Organizational Design

Most org charts describe the company you were, not the one you are building.

Structure sets speed. Roles accumulate, ownership gets fuzzy, and the same decision gets made in three places or in none of them. Companies usually experience this as a performance problem long before anyone names it as a structure problem.

Questions worth answering
  • Who owns this decision, and does everyone agree on that answer?
  • Where does work stop moving, and is that a person, a process, or a reporting line?
  • Are we structured for the revenue we have or the revenue we're planning for?
  • What roles are we about to hire that the structure would make unsuccessful?
What we deliver

A structure your leadership team agrees on, with roles, ownership, and decision rights written down clearly enough to hold under pressure.

What's inside
  • Operating model design
  • Role and accountability mapping
  • Decision rights and governance
  • Workforce and capacity planning
  • Span of control review
  • Leadership team design
  • Change and communication planning
08·Reporting and Analytics

Numbers the board trusts and operators can act on.

Reporting complaints usually get treated as a tooling problem when the real issue is definitions. If two teams calculate the same metric differently, meetings open with an argument about the number instead of a decision about the business. Rebuilding the dashboard does not end that argument.

Questions worth answering
  • Do we agree on what our core metrics mean, in writing?
  • How long does the monthly package take, and how much of that is manual?
  • Can an operator see the number that their decision affects, without asking someone?
  • What does the board ask for that we can't produce quickly?
What we deliver

Agreed metric definitions, reporting that runs without a fire drill every month, and a board package that holds up to questions.

What's inside
  • Metric definition and data dictionary
  • Executive and board reporting
  • Operational dashboards
  • Data pipeline and warehouse review
  • KPI design
  • Reporting automation
  • Diligence grade reporting readiness
Our methodology

Different services. Same way of working.

The work changes. How we run it does not. We assess what is going on before proposing an answer, align the teams before anything gets built, then accelerate delivery inside clear boundaries. In that order, every time.

See the methodology
Who runs it

One team, built for the engagement.

We build the team around the work instead of around who happens to be free. Our advisory team puts together a plan your organization can act on, and our delivery team executes it with you, using our own tools, until the change shows up in your numbers.

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