ITNeuroNet
Services

From product uncertainty to documented, buildable software work

ITNeuroNet helps founders and owners move from unclear ideas, risky requirements, fragmented data, and AI experiments into scoped, documented, buildable software work.

Request MVP Sprint Assessment Book a Discovery Call

You do not need to start with a perfect specification. You need enough clarity to make the next technical decision safely.

Each service is designed around a decision a founder or team needs to make: what to build first, how to structure the system, how to use AI without losing control, whether the data is ready, or where technical risk is hiding.

Decision aid

Choose the problem you need solved.

Filter services by the situation you are in. Not sure? Leave it on All and start with an assessment.

8 of 8 services shown

Request Assessment
MVP

Validate Your Product Idea

Product & Technical Discovery
When to use

You have an idea or workflow concept, but the users, scope, data, integrations, and first release are still unclear.

What you receive
  • 01Product context summary with users, workflows, and constraints
  • 02MVP boundary recommendation with what should wait
  • 03Risk and assumption map across product, data, and integrations
  • 04Initial architecture direction and recommended next step
Decision it enables

Whether the idea is ready to become a project, what the first slice should be, and which risks must be answered before spending heavily.

Read service
MVPArchitecture

Plan Your MVP

MVP Sprint
When to use

You are past validation and need a defensible v1 plan before you hire developers, brief a vendor, or commit budget.

What you receive
  • 01MVP scope with included, excluded, and deferred capabilities
  • 02Primary user journeys and critical edge cases
  • 03Functional requirements and initial data model
  • 04Delivery milestones and implementation readiness checklist
Decision it enables

What goes into v1, what is intentionally out, which assumptions remain, and how the first build should be sequenced.

Read service
Architecture

Turn Requirements Into Delivery

Architecture & Delivery Sprint
When to use

Requirements exist, but architecture, data ownership, integration contracts, task boundaries, and review gates are still implicit.

What you receive
  • 01Architecture document with system boundaries and rationale
  • 02Data model, API contracts, and integration responsibilities
  • 03Task breakdown suitable for human or AI-assisted implementation
  • 04Quality strategy, delivery plan, and unresolved decision log
Decision it enables

Which system boundaries, contracts, data entities, and delivery sequence will make the work executable and reviewable.

Proof

TodaiHealth

Read service
AIMVP

Build Your AI-Assisted MVP

AI-Assisted Product Development
When to use

You want faster implementation, but you still need requirements, architecture, tests, review, and a system that can be maintained.

What you receive
  • 01Working product increments tied to documented scope
  • 02Implementation tasks linked to requirements and architecture notes
  • 03Test-aware delivery with reviewable acceptance criteria
  • 04Code review, architecture review, and handoff artifacts
Decision it enables

How AI-assisted work fits inside a controlled delivery process instead of becoming unreviewed generated code.

Proof

TodaiHealth, AIspeaky

Read service
AI

Automate Workflows With AI Agents

AI Agents & Workflow Automation
When to use

A real operational workflow needs AI support, and a generic chatbot demo would not survive tools, exceptions, permissions, or real data.

What you receive
  • 01Agent workflow design with job, states, inputs, and handoffs
  • 02Tool, permission, and human review model
  • 03Data access plan and integration architecture
  • 04Prototype or production-ready implementation path
Decision it enables

What the agent is allowed to do, which tools and data it can use, where humans review, and how failures are handled.

Proof

Echo Speech Analytics

Read service
Data

Make Your Data AI-Ready

Data Engineering & Analytics
When to use

Reporting, automation, or AI ideas are blocked by scattered sources, inconsistent metrics, undocumented data, or fragile exports.

What you receive
  • 01Data source inventory with owners and quality concerns
  • 02Pipeline and orchestration design
  • 03Data model, data mart, or semantic layer
  • 04Reporting foundation and AI-ready access patterns
Decision it enables

Which pipelines, models, metric definitions, and access patterns need to exist before dashboards or agents can be trusted.

Proof

Echo Speech Analytics

Read service
Audit

Audit or Guide Your Technical Direction

Technical Audit & Fractional CTO
When to use

Something feels off in the vendor work, codebase, roadmap, architecture, or delivery process, and you need an independent senior view.

What you receive
  • 01Technical audit memo with findings and business impact
  • 02Architecture, data, security, and delivery risk review
  • 03Prioritized recommendations by urgency
  • 04Roadmap, vendor, hiring, or advisory guidance
Decision it enables

Whether to continue, restructure, rebuild, change vendors, hire differently, or stabilize the current technical direction.

Read service
Compliance

Build Safely Around Healthcare and Sensitive Data

Healthcare & Compliance-Aware Systems
When to use

PHI, PII, regulated workflows, vendor-controlled data, or sensitive operational information are in scope from the beginning.

What you receive
  • 01Sensitive data-flow notes for PHI, PII, vendors, and transfer points
  • 02System boundary model for internal and external actors
  • 03Access control and auditability plan
  • 04Secure AI provider routing and compliance-aware documentation
Decision it enables

Which data boundaries, access controls, audit trails, and provider routing rules must shape the system before it is built.

Proof

TodaiHealth, AIspeaky

Read service

Every engagement starts with a short assessment to define scope, risks, timeline, and the right collaboration model.

Discovery, sprint, retainer, and fractional formats are available depending on the project stage. Public pricing ranges are intentionally not shown — every engagement is scoped to its actual context.

Next step

Not sure which service fits your situation?

Send a short assessment request. I will review your context and suggest whether you need discovery, MVP planning, architecture, implementation, data work, audit, or compliance-aware system design.

Request MVP Sprint AssessmentBook a Discovery Call