LaunchSoloAIPeople. Processes. AI. Real results.Analyze my business

SaaS Stabilization & AI-Code Reliability

You shipped fast. Now make it survive production.

Inspect the paths where a real user, a delayed webhook or a failed provider can break the product. Fix the agreed failure and leave a repeatable test.

Illustrative operating model / Release readiness
BUILDVERIFYRELEASE

What happens outside the demo path?

Denied accessIdentity + record ownership

Retried eventSignature + deduplication

Provider failureTimeout + bounded recovery

Broken releaseDetection + rollback

A scoped audit and regression record; no blanket security certification.

Founders / Product engineering

The engagement

What changes. What you receive. How we check it.

What changes

A clearly scoped improvement

Prioritized findings, scoped repairs, regression evidence and a handover for the selected product paths.

What to measure

Compare before and after

Record the reproduced failure, test coverage for the changed scope and time to detect recovery.

How we start

One owner, one workflow

Bring a representative example. Together we confirm scope, access, acceptance criteria and pricing before implementation.

Explore

Current vs controlled / Reference workflow

The same work. A clearer route through it.

StageCurrent / frictionControlled / accountable

01Auth

CurrentCheck only the happy-path login

ControlledTest roles and denied access

02Data

CurrentTrust a client-supplied record ID

ControlledValidate ownership at the data boundary

03Webhooks

CurrentApply a retried event twice

ControlledVerify identity and deduplicate events

04AI

CurrentWait indefinitely for a provider

ControlledBound retries, timeout and escalation

05Deployment

CurrentChange configuration without a recovery path

ControlledRehearse migration and rollback

06Observe

CurrentHear about failure from a customer

ControlledExpose actionable errors to an owner

The product owner prioritizes risk; qualified reviewers approve access, security changes and release.

Bounded starting point

Choose what needs evidence first.

Authentication and roles

Record what exists, ask the accountable owner to confirm it, and agree a representative test before implementation.

Bring this question to Analyze

Automation / AI / Your team

Give each kind of work the right owner.

Automation

Moves and checks

Validate permissions, deduplicate events, run regression checks and surface failures.

AI assistance

Interprets and prepares

Assist investigation and prepare candidate fixes that must pass independent review.

Human accountability

Approves and decides

The product owner prioritizes risk; qualified reviewers approve access, security changes and release.

Modelled impact / Calculator

Put numbers on the administrative load.

Illustrative assumptions / editable

1,440 staff hours / year; CAD $64,800 baseline labour equivalent. At 30% recovery: 432 potential capacity hours and CAD $19,440 / year.

Recovered time is capacity, not reduced payroll. Implementation, software, training and ongoing review costs are excluded.

Use this scenario in my assessment ↗
Formula and sensitivity

Annual hours = people × hours per week × working weeks. Labour equivalent = hours × loaded cost. Capacity = baseline × recovery share. Optional investment / capacity ratio = investment ÷ monthly capacity value; shown only for positive values.

Practical starting points

Start small enough to verify.

Bounded workflow

Authentication boundary

Inspect auth: Check only the happy-path login. Agree the owner and acceptance evidence before changing the live process.

Explore

Bounded workflow

Webhook recovery

Inspect data: Trust a client-supplied record ID. Agree the owner and acceptance evidence before changing the live process.

Explore

Bounded workflow

Release readiness

Inspect webhooks: Apply a retried event twice. Agree the owner and acceptance evidence before changing the live process.

Explore

External guidance / Separate from our work

Use published risk guidance as a reference.

EXTERNAL INDUSTRY EVIDENCE

NIST AI Risk Management Framework

A voluntary framework for incorporating trustworthiness into AI design, development, use and evaluation. This is external guidance, not certification of a LaunchSoloAI build. Reviewed 2026-09-12.

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EXTERNAL INDUSTRY EVIDENCE

OWASP: Excessive Agency

OWASP describes risk from excessive functionality, permissions and autonomy. The reference informs boundary design; it does not prove any implementation is secure. Reviewed 2026-09-12.

Explore

LaunchSoloAI engineering evidence

Inspect the artifact and its boundary.

PUBLIC PRODUCT

Runcap

Public source and replayable Proof Gate examples demonstrate bounded controls. Routed spend coverage excludes bypassed calls.

Open the evidence record
Public Runcap Proof Gate repository capture
Public Runcap Proof Gate repository capture. Engineering evidence, not measured customer ROI.

Implementation / Evidence before expansion

A bounded engagement, with a decision at each stage.

  1. 01

    Map

    Confirm the workflow, owner and baseline.

  2. 02

    Bound

    Agree data, permissions, scope and unacceptable failures.

  3. 03

    Build

    Implement the smallest useful intervention.

  4. 04

    Verify

    Record the reproduced failure, test coverage for the changed scope and time to detect recovery.

  5. 05

    Hand over

    Train the owner, document recovery and decide whether to expand.

What you receive

Prioritized findings, scoped repairs, regression evidence and a handover for the selected product paths.

A practical next step

Bring one workflow. Find the next useful move.

Start with the process, the current tools and the person who owns the next decision. No system access needed.

Analyze my business

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What are you trying to improve?

Please describe the business process, not individual clients or records. Do not share passwords, API keys, health information, legal case files, payment data or other sensitive information. Privacy & Data Handling

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