ARC Advisory
Diagnose. Design. Deliver. Scale.
This is the commercial relationship with ARC. Most work starts as a scoped review of two to seven weeks and ends in a plan with named owners. If the plan still needs hands on it, we stay and build.
- Diagnose
- Design
- Deliver
- Scale
Four capabilities
What we actually do.
Not nine services competing for attention. Four capabilities, in the order a problem moves through them.
Diagnose
Find out what is actually true about the systems, the data, the risk and the team — before anyone commits a budget to fixing the wrong thing.
- Technical due diligence
- Architecture review
- Readiness assessment
- Security posture
Design
Turn the findings into an architecture and a sequence: what gets built, in what order, with which dependency resolved first.
- Target architecture
- MVP and product scope
- Data and integration design
- Roadmap sequencing
Deliver
Ship it. Build, integrate, migrate and release, with the governance that keeps a programme from quietly slipping a quarter.
- Build and integration
- Cloud and platform work
- Delivery governance
- Release and rollout
Scale
Make the result durable: measured, owned, secured and cheap enough to keep running after we leave.
- Observability and reliability
- Cost and performance
- Security and governance
- Ownership handover
How we start
Pick the problem, not a package from a menu.
Each review has a typical duration and a concrete deliverable. Open any of them to see whether it fits, what you receive, and what we can build afterward.
AI Readiness Audit
We score four things against the workflows you actually run: what you can do today, what you are trying to achieve, whether your teams can support it, and the habits that will either carry the change or kill it. You leave knowing which bet to fund and which to defer.
Starts with
Real processes, real data access, and the people who would have to run whatever gets built.
You leave with
A scored readiness snapshot, a classified automation backlog, and a 30/60/90-day roadmap with owners.
Technical Architecture Review
Program-level review of how your platform is built, where debt concentrates, and what to modernize first. Written for operators and boards, not architects performing for each other.
Starts with
Code, architecture diagrams, deployment history, and the operating constraints you actually have — not a whiteboard fantasy.
You leave with
A prioritized findings list, a modernization sequence, and risks an operator can act on Monday.
Cloud & DevOps Readiness Review
Cloud posture, CI/CD audit, observability gaps, and scalability recommendations. Grounded in how your team actually deploys, not how a reference architecture says they should.
Starts with
Your pipelines, environments, deployment frequency, and the incidents that keep repeating.
You leave with
A CI/CD maturity snapshot, observability gap list, and a sequenced fix plan your platform team can execute.
Data Health & Analytics Readiness
Data flow map, schema audit, quality scoring, and a remediation roadmap. The goal is a reporting workflow your team can run without a heroic analyst.
Starts with
The reports leadership already uses — and the spreadsheets they actually trust when those reports are wrong.
You leave with
A data-trust diagnosis, a sequenced platform path, and the first governed workflow worth shipping.
Security & Compliance Posture Review
Risk matrix, access and secrets review, remediation roadmap, and SOC 2 / GDPR / CCPA readiness notes. Readiness work that tells you what to fix first, not audit theater.
Starts with
Access controls, secrets management, logging, and the systems that actually hold the crown jewels.
You leave with
A ranked exposure list, a 30/60/90 hardening plan, and named owners for the first fixes.
AI Solution Concept + MVP Scope
Workflow design, MVP scope, functional requirements, KPI framework, and rollout plan. The output is a build-ready package — not a proof-of-concept that dies in a slide deck.
Starts with
One scored opportunity — from the AI Readiness Audit or your own prioritization — with a named owner and real data access.
You leave with
Functional requirements, architecture sketch, KPI framework, and a rollout plan with human-review gates defined.
Delivery Program Setup
Project charter, milestone plan, a live log of risks and dependencies, a release checklist, and a weekly governance cadence. The unglamorous work that decides whether anything launches on time.
Starts with
Your backlog, release history, dependency map, and the reasons last quarter's commitments slipped.
You leave with
A project charter, milestone plan with owners, RAID log, and a governance cadence your team can run.
Integrated Transformation Diagnostic
The architecture, AI readiness, and delivery reviews run together as one engagement. Full current-state across every dimension that affects whether your next bet ships, then a phased 6–12 month roadmap with named owners and sized risks.
Starts with
Competing initiatives, no shared debt map, and a board asking which bet to fund.
You leave with
A board-ready summary, named owners, sized risks, and a 6–12 month investment sequence.
A scoped start
Most clients begin with a two-to-seven week review. You leave with a plan, owners, and a clear next step.
Delivery if you still need us
If the plan still needs hands on the work, we stay and implement. We size that from the problem, not from a menu.
A workshop when the room is stuck
Sometimes the issue is getting leadership and operators to agree. That's a half-day or two-day session, not a six-week diagnostic.
The ARC Delivery System
Five stages. We always name which one you are in.
A near-term fix is not transformation. A vision slide is not next month's release. Naming the stage is what keeps those from getting mixed up in the same conversation.
- 01
Discover
What is actually happening, and what is the real problem worth solving?
- 02
Align
What does winning look like, and how do we size the work to the problem you actually have?
- 03
Deliver
What ships, who owns it, and how does it stay stable in your real business?
- 04
Measure
Is the work producing the outcomes we said it would, against numbers that matter?
- 05
Sustain
How do we keep the results compounding so next quarter is easier than this one?
Every recommendation names its stage. If we cannot name it, we have not thought about it hard enough yet.
Ongoing engagement
The stay-engaged layer.
A review that lands well usually turns into ongoing work. Three-month minimum, then month-to-month with 30-day cancellation.
| Engagement | Best fit | Typical commitment |
|---|---|---|
| Fractional Head of AI / Transformation· flagship | No senior AI leader in-house. You need strategy, AI governance, vendor judgment, and something coherent to tell the board. | 30–50 hrs / month |
| Fractional TPM / Delivery Program Lead | You are shipping platform work, but delivery slips, releases hurt, and nobody owns the cadence. | 40–60 hrs / month |
| Fractional Cloud / Platform Advisor | You are mid-migration or scaling infrastructure and need someone senior on the AWS architecture calls. | 30–40 hrs / month |
| Post-Diagnostic Execution Retainer | The natural next step after any ARC review — turn the roadmap into delivered work, sprint by sprint. | Scoped to the roadmap |
| ARC Partner Retainer | One ongoing partner across strategy, delivery, and AI instead of a pile of vendors to manage. | 80+ hrs / month |
How we compare
You are probably choosing between four things.
Agencies, integrators, and freelancers all solve real problems. Here is the honest version of where each one lands, so you can tell quickly whether we are the right shape for your problem.
A digital agency
- Who does the work
- A senior team pitches. A junior team delivers.
- What you get
- Campaigns, sites, and brand work.
- Afterward
- A renewal conversation, usually scoped as more campaign.
A systems integrator
- Who does the work
- A large bench, priced to stay large.
- What you get
- A platform implementation against a signed statement of work.
- Afterward
- Change requests. The bench stays.
A freelancer
- Who does the work
- One person, as available.
- What you get
- Hours against your backlog.
- Afterward
- The knowledge leaves when they do.
ARC
- Who does the work
- The senior person on your first call stays on the work.
- What you get
- A scored plan with named owners — then the system, built.
- Afterward
- Your team can run it without us. A retainer only if you want one.
Work
What shipped, and what it was worth.
Programmes our team has delivered in Fortune 100 and Fortune 500 environments, plus ARC's own work. Where confidentiality applies, we name the scale instead of the logo.
Coordinating 300+ features so release investment produced sales, not just shipped code
An enterprise cybersecurity product line where feature volume had outpaced release value. The work was to coordinate 300+ features into a program that improved what actually reached customers — and what that was worth.
Features coordinated
Improvement in release value
Program tied to revenue
Customer-data architecture at tens of millions of profiles
CDP and data-platform delivery for a consumer business operating at Ticketmaster scale: tens of millions of customer profiles, complex enterprise constraints, and a platform that had to hold up under live-event load.
Customer profiles in scope
Enterprise data architecture
Delivery under real load
How we think
The rules we hold ourselves to.
If a recommendation cannot pass these, we do not ship it. We will usually say so before you have to.
Always name the stage.
Every recommendation tells you which stage of work it is. If we can't name it, we haven't thought about it hard enough.
Don't confuse strategy with deliverables.
A near-term fix is never sold as transformation. A long-term vision is never confused with what we're shipping next month.
Boring beats clever.
A spreadsheet running a real operation beats a custom system that only sort of works. Every time.
Four axes, or it's just a slide.
Every recommendation has to land on business value, risk, feasibility, and adoption. If it lands on only one, it's a slide, not a plan.
Show your work.
Every output names its assumptions, constraints, dependencies, and unknowns. Nobody has time to reverse-engineer how we got there.
Plain language. Real numbers.
"Digital transformation" and "AI-powered" mean nothing on their own. "Cut claim-triage time by 38% with a clearer workflow, better data, and human review on the hard cases" means something. We write the second kind.
Build for the world you're actually in.
Tight budgets. Stretched teams. Uneven technical depth. Results that have to show up soon enough for people to trust them. That is the world we design for, including nonprofits and communities.
Build for the next version, too.
If a system falls over when a teammate leaves or a vendor changes an API, it's a liability, not a system. We build so version two is cheaper than version one.
“Selling someone a build when they haven’t figured out the problem yet is malpractice. We won’t do it, even when the budget says we could.”
Fit
Who we work best with
- Operators in 10–500 person companies, nonprofits, and teams who need a working system, not a slide deck.
- Leaders who want one honest partner across strategy, build, and scale — not a pile of vendors to manage.
- Groups ready to put real data, real users, and real effort behind the work.
Not a fit
When to look elsewhere
- You want a large team staffed next week to take over IT.
- You need a logo-driven RFP response more than an honest diagnosis.
- The problem is still “we should do AI” with no workflow, owner, or constraint.
- You want us to build whatever was already decided, without scoring it.
FAQ
Before the call.
If it is not here, ask it on the call. That is what the thirty minutes are for.
Want this standard of work on your problem?
Most advisory work starts with a scoped review. A 30-minute call is enough to tell you whether that is the right first step, and what size of engagement the problem actually needs.