Strategy, product, and systems

We turn AI opportunities into systems that work.

AI 4U brings business analysis, product strategy, design, implementation, and ongoing ownership into one accountable engagement.

Find my first opportunity Explore how we build

Inspect the ecosystem before you start.Public records show what is available, what is a blueprint, and what the first proof could be.

14Service scopes

46Focused tools

9Agent records

5Automation records

One connected engagement

Not a menu of features. A path from signal to shipped system.

Start in the chapter that matches your reality. Each service record shows the outcome, a possible first proof, the capabilities involved, and the starting range. The written proposal remains the source of truth.

01Find

Find the opportunity worth building.

Start with the business decision, current evidence, constraints, and the unknowns that could change the plan.

Outcome: A decision-ready opportunity and written scope.
Human gate: You approve what is worth proving.

Enterprise AI ConsultingStrategy to execution

From $5K

Move from opportunity assessment into architecture, a testable roadmap, implementation, and an evidence review that can change the next decision.

Example first proof

select one opportunity, define the baseline, run a bounded pilot, and review a continue, revise, or stop decision.

Capabilities in scope

AI opportunity assessment
Technical architecture
Model selection & benchmarking
Cost & ROI analysis
Implementation roadmap

Discuss this scope

Analytics & BI DashboardsDecision surfaces with visible evidence

From $12K

Decision surfaces that connect approved data sources, explain the metric logic, expose uncertainty, and turn recurring reporting into an inspectable workflow.

Example first proof

one weekly operating view with metric definitions, source freshness, owner, and exception notes.

Capabilities in scope

GA4 & multi-source integration
Reviewed forecasts and scenarios
Real-time dashboards
Custom visualizations
Automated reporting

Discuss this scope

Media & Transparency AIBias detection & analysis

From $25K

Media research workflows for ownership context, claim comparison, framing analysis, source tracing, and transparent human review.

Example first proof

compare one claim across a bounded source set and expose the source, date, ownership context, and uncertainty.

Capabilities in scope

Sentiment analysis
Bias detection
Ownership tracking
Trend analysis
Real-time monitoring

Discuss this scope

02Prove

Make the core experience real.

Build the smallest useful product that can produce evidence, expose failure modes, and earn the next investment.

Outcome: A focused proof with acceptance evidence.
Human gate: You decide whether to continue, revise, or stop.

Rapid MVPsA focused proof with a written path to production

Fixed: $15-25K

Define the smallest product that can prove the opportunity, then build it against explicit acceptance checks, integrations, risks, and ownership.

Example first proof

one intake, one core workflow, one accepted result, and a documented fallback.

Capabilities in scope

Full-stack development
Production deployment
User testing & feedback
Analytics setup
Scale-ready architecture

Discuss this scope

Mobile AI AppsNative iOS & cross-platform

From $20K

Native and cross-platform products with language, video, voice, image, music, search, and agent capabilities selected around the user experience.

Example first proof

a bilingual iOS companion that turns one user input into a reviewable, saved result.

Capabilities in scope

Native iOS (Swift/SwiftUI)
React Native cross-platform
Multi-model AI integration
Backend & API development
App Store optimization

Discuss this scope

Video & Image AIVisual understanding, generation, and review

From $25K

Video and image workflows for inspection, analysis, generation, and human-reviewed decisions. High-stakes outputs include explicit limitations and escalation paths.

Example first proof

upload one approved image set, flag review candidates, and show why each item was surfaced.

Capabilities in scope

Real-time video analysis
Image and video generation
Visual diagnostics
Object detection & tracking
Multi-modal AI pipelines

Discuss this scope

Multilingual AISpanish-first for LATAM

From $12K

Multilingual products built for the language, market, cultural context, support model, and release requirements of the people using them.

Example first proof

one complete Spanish workflow reviewed for language, local context, edge cases, and support handoff.

Capabilities in scope

Spanish language fine-tuning
Cultural adaptation
LATAM payment integration
Regional content moderation
Market research

Discuss this scope

03Connect

Connect intelligence to real work.

Give the system approved knowledge, explicit tools, scoped permissions, and a durable path through your existing stack.

Outcome: An inspectable workflow across real systems.
Human gate: Access and high-impact actions stay bounded.

MCP Server DevelopmentTool contracts for real systems

From $10K

Connect intelligent systems to databases, APIs, and business logic through explicit tool contracts, permissions, observability, and failure handling.

Example first proof

one read-only business tool with typed inputs, scoped access, trace logs, and a failure receipt.

Capabilities in scope

Custom MCP server architecture
Tool & resource definitions
Multi-server orchestration
Desktop and server integration
Production deployment

Discuss this scope

RAG & Knowledge SystemsVector databases & embeddings

From $15K

Turn approved documents into traceable search with retrieval, reranking, citations, evaluation, and a clear no-answer path.

Example first proof

answer from one approved document set with page citations and an explicit insufficient-evidence result.

Capabilities in scope

Vector database setup
Document processing
Semantic search
Hybrid retrieval
Context-aware generation

Discuss this scope

API IntegrationConnect AI to your systems

From $8K

Model-agnostic integration across language, video, voice, image, music, search, computer vision, code, and embeddings, with routing, cost controls, and provider failover.

Example first proof

one typed API action with bounded input, cost limit, retry policy, and provider fallback behavior.

Capabilities in scope

Provider and model evaluation
Custom API development
Multi-model routing
Cost optimization
Rate limiting & caching

Discuss this scope

04Operate

Ship with control and ownership.

Move from a promising proof to a dependable product with monitoring, human handoffs, outcome logs, and named owners.

Outcome: A system your team can run and improve.
Human gate: Human judgment remains visible at the right moments.

Conversational AgentsConversations connected to real work

From $15K

Conversational systems with durable context, tool use, permissions, human handoff, and monitoring across the channels your workflow needs.

Example first proof

answer one class of customer question, cite the approved source, and escalate anything uncertain.

Capabilities in scope

Multi-platform deployment
Payment integration
Persistent conversations
Function calling & tools
Analytics & monitoring

Discuss this scope

Voice AI & TTSSpeech, narration, and supervised voice workflows

From $18K

Voice assistants and audio products with speech recognition, narration, multilingual support, latency budgets, and clear escalation when confidence is low.

Example first proof

capture a bounded request, confirm intent aloud, and hand off when the answer is uncertain.

Capabilities in scope

Text-to-speech integration
Speech recognition
Real-time voice processing
Multi-language support
Voice cloning & synthesis

Discuss this scope

AI Agent DevelopmentMulti-model orchestration

From $20K

Specialized agents working through typed handoffs, durable state, retries, evaluation, human gates, and outcome logging.

Example first proof

research one request, draft one artifact, pause for approval, and log the accepted outcome.

Capabilities in scope

Multi-agent architecture
Model routing & selection
Tool use & function calling
Memory & context management
Supervised workflows

Discuss this scope

Enterprise AI PartnershipStrategy, build, and ongoing AI ops

From $100K

For organizations that need strategy, implementation across multiple workstreams, team enablement, governance, and ongoing system ownership.

Example first proof

one governed workstream with owners, acceptance evidence, incident handling, and a roadmap tied to observed outcomes.

Capabilities in scope

Bounded AI strategy sprint
Multi-workstream implementation
Team training & playbooks
On-call AI engineering retainer
Quarterly AI capability roadmap
Direct line to senior leadership

Discuss this scope

Selected operating patterns

Patterns we can adapt.

These private systems are not public products. They show how an engagement can connect evidence, workflow, approval, and proof around a real operating problem.

01System portrait

An editorial system portrait of one campaign strategy core coordinating specialist and evidence records.

Governed marketing systemInternal proof

AI CMO

Hold strategy, specialist work, creative, approvals, receipts, and learning in one campaign record.

Useful when: Teams that need coherent marketing execution without losing evidence, ownership, or approval control.
Human gate: A responsible owner approves claims, accounts, destinations, the exact campaign revision, each publication action, and any learning promoted into future decisions.

Example use cases

01
Create one coherent campaignObserved path
02
Govern a multi-channel launchObserved path
03
Adapt a marketing operating modelAdaptation example

The internal product remains private. AI 4U can design an adapted operating system around a client's channels, evidence, policies, and approval model.

Inspect the system Discuss adapting this system

02System portrait

An editorial system portrait connecting field evidence, customer approval, payment, and an office record.

Field operations workflowInternal proof

Proof-to-Paid Field Operations

Keep job proof, price, customer approval, payment, and office follow-through on one record.

Useful when: Service businesses that lose time or trust when field proof, approvals, invoices, and exceptions live in separate tools.
Human gate: The field owner confirms the work record, the customer approves the exact packet, and the office resolves payment or accounting exceptions.

Example use cases

01
Prove work before priceObserved path
02
Give the customer one decision pageObserved path
03
Adapt proof-to-paid operationsAdaptation example

The product remains private. AI 4U can adapt the workflow to a service company's job model, evidence rules, payments, and office systems.

Inspect the system Discuss adapting this system

03System portrait

An editorial system portrait transforming a product brief through layered build stages into a finished mobile object.

Product creation systemInternal proof

iOS App Factory

Keep product intent, source changes, simulator evidence, and release gates in one living build record.

Useful when: Product studios and internal teams that need repeatable app creation without letting generation outrun design judgment or runtime proof.
Human gate: A product owner decides the product promise, taste, scope, risk boundary, acceptance evidence, and release decision.

Example use cases

01
Build from a product contractObserved path
02
Keep proof attached to the changeObserved path
03
Adapt a studio operating systemAdaptation example

The internal factory remains private. AI 4U can adapt its product contracts, build gates, simulator evidence, and review loops for another app program.

Inspect the system Discuss adapting this system

The operating contract

The scope should make uncertainty easier to see, not easier to hide.

Every proposal defines the result, evidence, unknowns, integrations, milestones, acceptance checks, ownership, and human approval points before implementation begins.

Discuss an existing scope

Outcome: The business result and owner are named before the build.
Evidence: Every milestone defines what will count as proof.
Unknowns: Assumptions and unresolved dependencies stay visible.
Integrations: Access, data, tools, and failure behavior are documented.
Acceptance: A written check determines whether each stage is complete.
Human gate: Approval points are explicit before permissions expand.

Before we build

What a real engagement needs to make clear.

Open each question for the working boundary. Final terms, timing, and price are defined in the written proposal.

01What does an AI 4U engagement include?

Each engagement starts with the business outcome, evidence, constraints, owners, and human approval points. The proposal then defines the product or system, milestones, integrations, acceptance checks, and post-launch responsibilities.

02How long does a focused AI build take?

The timeline follows the validated scope, integration readiness, evidence requirements, and approval path. Discovery produces a written plan with milestones and acceptance checks, and that proposal is the source of truth.

03How is pricing determined?

The public service cards show starting ranges for common scopes. Final fixed pricing follows discovery and depends on the workflow, integrations, risk, evidence required, and support model. The published $999 AI Opportunity Audit is fixed only for its exact package scope. Every custom implementation price becomes final in a written proposal.

04Do you work with an existing product and data stack?

Yes. AI 4U can extend an existing product, connect a workflow across current systems, or build a new product. We document what data is available, what cannot be assumed, and where a human must review or approve an action.

05Can we start with a small proof?

Yes. The preferred first step is the smallest test that can change a real decision. The business analyzer can surface a preliminary opportunity, then discovery confirms the internal workflow and defines a measurable validation plan.

06Do you provide ongoing support?

Yes. Ongoing work can include evaluation, monitoring, exception review, model and provider changes, new integrations, and roadmap ownership. The support boundary is agreed in the proposal.

Start with one real decision

Bring one opportunity. Leave with a build decision.

The business scan surfaces a preliminary opportunity from one public page. Discovery then confirms the internal workflow, evidence, constraints, and smallest useful proof.

Analyze my business I already know what to build

Build handoffWhat moves forward

01
Chosen outcomeThe result, baseline, and owner
02
Proof planThe smallest test that can change the decision
03
Acceptance checksThe evidence required to continue
04
System scopeIntegrations, controls, milestones, and ownership