IT Consulting & Digital Strategy

Overview

Technology decisions shape the business. We help you decide what to build, what to buy, and what to retire. Our consulting work spans technology roadmaps, CTO advisory, vendor evaluation, and digital transformation—always grounded in your business model and team capacity.

Most consulting fails the same way: a polished deck, no owner, no follow-through. We work differently because we also build. The same team that reviews your architecture ships production systems every week, so our recommendations come with implementation detail—what it takes, how long it runs, and what breaks first when it's done badly. You get advice your engineering team can act on Monday morning, not a slide about "digital excellence."

Capabilities in Detail

Technology roadmapping that connects business goals to technical initiatives, with clear phases and dependencies. Each initiative gets a measurable outcome and an owner, work is sequenced so dependencies don't stall delivery, and the roadmap marks the decision points where you can stop, continue, or change course without sunk-cost pressure.

CTO advisory for founders and executives who need a technical sparring partner. We review architecture before you commit to it, sit in on technical hiring, pressure-test vendor claims, and translate between the board and the engineering team. Most useful when you're between technical leaders—or when the one you have wants a second opinion.

Vendor evaluation with structured criteria, proof-of-concept support, and contract review. We build a scorecard around your actual requirements, run short proofs of concept where claims need testing, and flag the lock-in and exit costs that rarely make it into the sales conversation.

Digital transformation from legacy systems to modern platforms, with change management in mind. We phase migrations so the business keeps running, target the workflows that genuinely benefit, and skip the ones that don't. Increasingly this includes adopting AI in a structured way—which is exactly what our AI readiness assessment was built for.

Legacy modernization assessments and migration plans that reduce risk. We map what the legacy system actually does—including the undocumented parts—then plan incremental, strangler-pattern migrations that replace it piece by piece instead of betting everything on a big-bang rewrite.

Security audits that identify gaps and prioritize remediation. We review infrastructure, access control, dependencies, and deployment practices, then rank findings by exploitability and business impact—so you fix what matters first instead of working down an alphabetical list.

Our Approach

We ask questions before proposing solutions. We map your current state, understand constraints, and recommend options with tradeoffs—not prescriptions. We document decisions and rationale so future teams can follow the logic. We stay tool-agnostic until we understand your context. And because we build as well as advise, we never recommend anything we wouldn't be willing to implement ourselves.

How an engagement runs

Advisory work follows a rhythm you can plan around:

1. Intro call. We hear the problem, tell you honestly whether we're the right fit, and define the scope.
2. Discovery (weeks 1–2). Stakeholder interviews, a systems inventory, and a first-hand read of your codebase, infrastructure, and cloud spend—under NDA where needed.
3. Assessment (weeks 2–4). We analyze what we found: architecture, risks, costs, team capacity, and the gap between where you are and where the business needs you to be.
4. Roadmap and recommendations (weeks 4–6). A written report with phased initiatives, options and tradeoffs, effort estimates, and decision points—presented live, then handed over with all working documents.
5. Ongoing advisory (optional). A monthly cadence for teams that want the sparring partner to stick around: architecture reviews, hiring support, and vendor questions as they come up.

A focused assessment lands in two to four weeks; a full roadmap in four to six. Fees are scoped per engagement after the intro call.

The engineering behind the advice

Consulting is only as good as the practice behind it. Our recommendations draw on the stack we ship with daily—TypeScript, Next.js, PostgreSQL, AWS, GCP, and Vercel—plus current AI tooling: Claude for agentic workflows and assistants, and MCP for connecting models to real systems. During assessments we work from evidence, not opinions: architecture diagrams generated from your actual code, cloud billing exports, dependency and vulnerability scans, and deployment history. That keeps findings concrete and recommendations testable.

FAQs

How is consulting different from development work?
Consulting is advisory: we assess, recommend, and guide. Development is hands-on: we build. Many engagements combine both—strategy first, then implementation.

Do you work with in-house teams or replace them?
We augment. We work alongside your team, transfer knowledge, and build capacity. We don't replace your engineers—we make them more effective.

What deliverables do you provide?
Roadmaps, architecture documents, vendor scorecards, security reports, and implementation plans. Format depends on the engagement.

Are your recommendations vendor-neutral?
Yes. We hold no reseller agreements and take no referral fees, so the scorecard reflects your requirements—not our margins. Where we do have a house preference, we say so openly and show the reasoning next to the alternatives.

Can you advise on AI adoption specifically?
Yes—it's now the most common reason teams call us. We run a structured AI readiness assessment, and for policy and EU AI Act obligations we bring in our AI governance practice.

Do you implement the roadmap too?
If you want us to. Many clients hand the roadmap to their own team—it's written for that. Others have us build the first phases or set up the cloud foundation, which keeps accountability in one place.