Expert Advisory
Bring one payment, AI, or integration decision. Leave with a decision brief, risk register, vendor scorecard, or implementation review your team can act on without another explanation call.
Sample deliverables
Each review ends in a decision artifact your team can inspect, debate, and act on. These are representative surfaces, not client work.
Decision memo
01One page of answer-first guidance for the decision owner.
Recommend merchant-of-record for launch, with direct processing deferred until reconciliation volume justifies it.
Architecture review
02A practical read on boundaries, ownership, data contracts, and operational risk.
Move entitlement state behind the checkout callback boundary and make webhook replay idempotent before beta.
Risk register
03A concrete table of launch, vendor, payment, data, and support risks.
Refund workflow has no owner; assign support path before enabling paid checkout.
Vendor scorecard
04A comparison that separates feature match from integration and operating cost.
Paddle wins launch tax coverage; direct processor wins control only after entitlement state becomes first-party.
Implementation review
05A scoped path from decision to implementation without turning the review into a retainer.
Build checkout config as a read-only function first, then add webhook storage once sandbox events are captured.
Sanitized artifact package
A review does not end as a call recap. It ends as a small package your team can forward, challenge, and turn into work.
Recommendation, rejected options, assumptions, evidence, and the next decision owner.
Failure modes, owner handoffs, impact, and the control that lowers the risk.
First slice, interfaces, test gate, rollback point, and what not to build yet.
Formats
Final scope depends on the decision and material shared, but you should know the format, time box, and price band before sending context.
One narrow decision with useful context already assembled.
Decision notes, key risks, and next actions.
Payments, AI, SaaS, or integration decisions that need written evidence.
Decision brief, risk register, and implementation path.
A high-stakes vendor, architecture, or launch choice with multiple owners.
Memo package, scorecard, risk register, and stakeholder-ready recommendation.
Review paths
The format stays consistent: decision boundary, proof, risk register, and next implementation path. The row you choose changes the system under review.
For teams choosing a payments model, reviewing a vendor path, or cleaning up a payment architecture before it gets expensive.
For builders who need the system to behave under messy inputs, partial context, provider failures, and user pressure.
For product and engineering teams that need a clean decision before code, vendors, and operations drift apart.
Best when the question is narrow enough to solve in one session and important enough to prepare for.
Credibility
Doric Stack is an enterprise-grade technical studio. The public surface stays inspectable: released apps, public tools, written reasoning, and scoped deliverables.
A recommendation, the rejected paths, and the evidence that makes the call defensible.
Payment, AI, vendor, data, security, and launch risks mapped to owners and controls.
A structured comparison that separates feature fit, integration risk, commercial risk, and operating burden.
A concrete first slice: sequence, interfaces, failure handling, checkpoints, and what to avoid.
Fit check
The best engagements have enough context to review and a decision that needs sharper tradeoffs.
Proof
Architecture judgment across onboarding, merchant models, settlement, reconciliation, disputes, and operating failure modes.
Hands-on build work across LLM apps, MCP tooling, retrieval, evaluation, provider boundaries, and production hardening.
The review stays tied to what can be built, tested, operated, and explained to the people who own the result.
Proof
Architecture judgment across onboarding, merchant models, settlement, reconciliation, disputes, and operating failure modes.
Hands-on build work across LLM apps, MCP tooling, retrieval, evaluation, provider boundaries, and production hardening.
The review stays tied to what can be built, tested, operated, and explained to the people who own the result.
Commercial confidence
Intake checks the decision owner, current artifacts, deadline, and risk level before paid work starts.
Paid work produces a written decision artifact: recommendation, rejected paths, risks, and next moves.
The output names the recommendation, the alternatives rejected, and the evidence behind the call.
Failure modes are written down: operational boundaries, vendor risk, owner handoffs, and launch gaps.
You get the next slice of work, not a broad theme. The goal is a decision your team can act on.
Vendor options are compared by fit, integration risk, operating burden, commercial risk, and failure handling.
Commercial confidence
Intake checks the decision owner, current artifacts, deadline, and risk level before paid work starts.
Paid work produces a written decision artifact: recommendation, rejected paths, risks, and next moves.
The output names the recommendation, the alternatives rejected, and the evidence behind the call.
Failure modes are written down: operational boundaries, vendor risk, owner handoffs, and launch gaps.
You get the next slice of work, not a broad theme. The goal is a decision your team can act on.
Vendor options are compared by fit, integration risk, operating burden, commercial risk, and failure handling.
Methodology
The engagement is built around the decision you need to make, the evidence available, and the output your team can use after the session.
We separate what must be decided now from what can wait, then name the constraints, failure modes, and success signals.
For payments, AI, or integrations, the review follows money flow, data flow, control points, ownership, and operational handoffs.
You leave with the viable options narrowed, the weak paths rejected, and the next implementation or vendor steps made explicit.
Methodology
The engagement is built around the decision you need to make, the evidence available, and the output your team can use after the session.
We separate what must be decided now from what can wait, then name the constraints, failure modes, and success signals.
For payments, AI, or integrations, the review follows money flow, data flow, control points, ownership, and operational handoffs.
You leave with the viable options narrowed, the weak paths rejected, and the next implementation or vendor steps made explicit.
Process
You send the decision, current context, constraints, and any diagrams or docs that matter.
I inspect the architecture, risks, tradeoffs, and operational edge cases before the session.
You get a written summary, decision path, and next actions tied to the package.
Process
You send the decision, current context, constraints, and any diagrams or docs that matter.
I inspect the architecture, risks, tradeoffs, and operational edge cases before the session.
You get a written summary, decision path, and next actions tied to the package.
Intake