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Methodology

Right-sized paths,
same delivery map.

Every engagement starts with a feasibility call. After that, we choose the lightest path that still controls risk: PoC-only validation, bounded build, full Discovery & Blueprint, or rescue work.

The Journey

Five checkpoints.
Right-sized path.

Not every engagement needs every checkpoint. The feasibility call tells us whether the right next step is lightweight scoping, a PoC, Discovery & Blueprint, build, or rescue work.

What happens

We stress-test your idea against data, infra, and team realities, and tell you honestly whether AI is the right tool.

Deliverables
Verbal feasibility assessment
Opportunity map
Go / no-go recommendation
Architect

This is the map we use to avoid over-processing simple work and under-scoping serious systems. Next: how AI-native delivery compresses it ~2×, architect-led at every stage.

See the full delivery map
Right-sized paths

Not every project needs
every checkpoint.

The five checkpoints are a map we assess against, not a conveyor belt we force every client through. The scope, data risk, timeline, and commercial goal determine the path.

01

PoC path

Fundraising, stakeholder buy-in, or technical go / no-go.

Feasibility → Concept Validation → demo, report, and handoff.

02

Bounded build path

Clear 4-8 week implementation work with obvious architecture.

Feasibility → lightweight scoping → build → handoff.

03

Full production path

Larger products, regulated data, multiple stakeholders, or high integration risk.

Feasibility → Discovery & Blueprint → Validation → Build → Scale.

04

Rescue path

Existing prototypes, vendor work, or internal builds that stalled.

Feasibility → audit → re-architecture, build, or scale as needed.

Five checkpoints, side by side

Same five checkpoints,
compressed at the right ones.

The table below maps every checkpoint a serious AI delivery moves through, and shows where our delivery model actually compresses time vs. a classic agency build.

Click any row to expand , you'll see what specifically happens at that checkpoint and where it diverges from how an agency-led project would handle the same phase.

Full production path
Classic
~9–17 months
Remilink
~6–10 months
Discovery & Blueprint

When the risk is high,
start with the plan -
then build.

For larger, ambiguous, regulated, or multi-stakeholder initiatives, we recommend starting here. Think of it like building a house: you commission the architectural plan from an architect first, and then anyone can build it. Same here, in 2-3 weeks, you get the plan.

Not every project needs a full Discovery & Blueprint. Tightly scoped 4-8 week builds can use lighter scoping, and some clients only need a PoC. When the stakes justify it, you walk away with three things: a full project plan, portable artifacts you own forever, and a clear read on how we work before material build spend.

Typical engagement
$5k–$10k
· 2 to 3 weeks · six artifacts · working prototype
For larger initiatives

2–3 weeks. 6 portable artifacts you own, plus a working prototype.

The feasibility call decides whether this is the right next step, or whether lighter scoping, PoC-only validation, or a bounded build fits better.

Discuss the right path
PoC path, in detail

4 to 8 weeks.
A real answer, not a slide deck.

For Innovation Leads, Heads of Product, and VP Data Science scoping a focused proof on real data. Built for fundraising, stakeholder buy-in, technical go / no-go, or simply: will this AI approach hold up on data we can actually show it. Same architectural discipline as a full production engagement, sized to a single decision.

Typical engagement
$20k–$50k
· 4 to 8 weeks · fixed scope · milestone-gated
01

Scope

Work with our architects to design a focused PoC that will surface the insights you need to decide on production, with clear success metrics, kill criteria and a named decision owner.

02

Build and validate

Our architects and engineers build the PoC, working alongside your team and using your data, and validate it against the kill criteria you set in the scoping phase. Real data, isolated environment, no production integration.

03

Acceptance review

Acceptance criteria checked on the call before handoff. Accuracy, latency, edge cases, and explicitly what falls outside scope. Pass or fail is named.

04

Decide

Present the findings to your stakeholders, make a go / no-go decision on production, and get a written read from our architects on the plan and results to inform next steps, whether with us or your internal team.

05

Next steps

The PoC approach, architecture, and code are all built with scalability in mind and can be directly lifted into a production solution with us or your internal team. We help you understand the tradeoffs and decision points to make the best choice for your org.

The lightest move is to send us the rough plan, including your draft kill criteria, and get a written read from a senior architect inside one business day. That keeps the decision in your hands and out of a sales funnel.