Legacy modernization
Monoliths to services the Strangler-Fig way. Java 1.4 to Java 21 / Spring, phased instead of a big-bang rewrite.
Advisory that ships
Integrate the new. Modernize the legacy. Prove it holds
Strategic advisory for the systems a business cannot afford to fail: new products, legacy platforms, and the integrations between them, with outcomes you can measure.
The work we take on
Granular enough for an architect, legible enough for a CFO. Technology-agnostic on purpose: the estate comes first, not a preferred vendor.
Integration nobody owns
Batch, MQ, APIs, and file flows. Systems never meant to talk, made to exchange clean records.
Observability you can act on
ELK, Splunk, operational dashboards. See a failure instead of hunting for it at 3am.
Cloud and platform migration
AWS, Azure, GCP with Kubernetes and CI/CD. Roadmaps that protect production while you move.
Governance and vendor analysis
Blueprints, review boards, outsourcing options, build-versus-buy: decisions leadership can own.
Business ↔ technical translation
Current and target-state diagrams non-engineers can use. Cost, risk, and architecture options without the sales fog.
Small budgets. Massive impact
We do not pitch AI. We wire it into systems we operate
Most AI pilots never move performance because they are bolted on after the architecture is set. We put models inside delivery and recruiting plumbing, with human review on every material decision.
What that looks like in practice
Complex integrations, fast
Auth, APIs, entity search, live job boards, placements, candidates, notes, submissions: the ugly middle of enterprise systems. We wire complex integrations quickly because we read the API and the data model, not only the vendor brochure.
LLM-assisted modernization
Service porting under architectural review on a mission-critical estate. Roughly ~40% faster on the current engagement because the model accelerates the mechanical work and humans hold the line on design.
AI Recruiting Assistant
Azure OpenAI inside the hiring loop: skill extraction, candidate-to-job match support, Boolean and structured search, reply recommendations, outreach drafts. Recruiters approve. No silent rejections off a score.
Resume intelligence, versioned
Every submission retained so drift is measurable: dates that slide, titles that inflate, skills that appear from nowhere. Vector search and compare against prior versions, then hand a clean record into the hiring systems you already run.
Stop 1 of 7
Legacy Junction
Where most of the estate still lives, and most of the risk
- Few people left can fully explain the system
- Small changes take weeks and carry real risk
- You are one retirement away from a crisis
Where most of the estate still lives, and most of the risk
A worked example · vendor governance
The demo dazzles. Then it quietly
You pay a consultancy for the plan, an offshore vendor to build it, and hand over a roadmap to follow. On paper it is clean. Here is how it really goes, and where we change the ending.
- A consultancy advises and draws up the architecture.
- An offshore vendor is picked to build it.
- The roadmap is handed over as the blueprint.
The problem
Six sprints to the point of no return
Two-week sprints. Nothing looks wrong until it is structural, and structural is the expensive kind.
- Sprint 1 · HoneymoonThe demo looks sharp. Everyone is excited. It matches the slideware.
- Sprint 2 · Small promisesA few features are missing. “It is in the next sprint.”
- Sprint 3 · FrictionData shows up, but it is painfully slow. Blamed on a “complex table structure,” to fix later.
- Sprint 4 · MisalignmentCore workflows do not match the business. “We can patch it after go-live.”
- Sprint 5 · No returnThe misalignment is baked in. Structural fixes are now too costly to make.
- Sprint 6 · AbortedFoundational flaws force a rebuild. Budget doubles. Timeline slips.
What we do
Be embedded early, by Sprint 3
A neutral set of technical eyes inside delivery. Not a second layer of management, and we do not slow the vendor down.
Watch quietly
Embedded as a neutral observer, we spot systemic problems early: misalignment, slippage, designs that will not hold.
Course-correct
We simplify the over-engineered pieces so security and performance actually land, and the offshore team gets clear direction.
Unblock the team
Skip the micromanagement. Point the strongest developers at the real goal and let them deliver.
Make it buildable
Adjust the design so the team on the ground can actually build it, without dropping quality or the timeline.
The math
On a $2M build, about $0.40M stays in your pocket
Rework is where the money leaks. Catch the drift by Sprint 3 and cumulative rework stays near $0.30M instead of climbing toward $0.70M.
Embedded from Sprint 3. Same engagement size, different ending: governance that shows up as cost avoided, not as another status deck.
On a $10M multi-project portfolio
$1.2–2.5MPortfolio protection
Budget kept out of avoidable rework when oversight starts by Sprint 3.
6–10 moDelivery time saved
Fewer rebuilds, fewer “patch it post go-live” traps.
0Vendor slowdown
Embedded eyes, not another layer of process on the critical path.
What we are building on our own stack first
We run these on Method3's operation, then show you systems we actually depend on, not a lab demo.
ATS to payroll pipelines
Bullhorn and timesheets into Paylocity. One record from candidate to paycheck, without re-keying.
Candidate fraud detection
Verification inside the hiring pipeline, not a check bolted on after the offer.
Workforce analytics
Pipeline health, time-to-fill, and the leading indicators of a vacancy before it arrives.
Have a system that needs to move, carefully?
Bring the legacy estate, the integration nobody owns, or the vendor decision that has to be right. That is the conversation worth having.