AI Systems Diagnostic
$1.5k–$3k typical rangeMap the prototype, client request, or workflow; identify the highest-value production slice; clarify data and risk boundaries; and define a practical implementation scope.
PITTECHS / AI SYSTEMS IMPLEMENTATION
AI systems implementation for founders, startups, and agency partners.
PitTechs rescues fragile AI prototypes, builds production-path AI tools, and supports consultants or agencies that need senior AI engineering behind client work.
Best fit for a founder with an AI demo that breaks, a startup adding one real AI feature, or a consultant/agency with clients asking for practical AI implementation.
AI prototype rescueProduction-ready MVPsAI evals + guardrailsLLM/RAG integrationsAgency implementation partnerInternal AI toolsAutomation sprintsRetainers
pittechs.com · ai systems implementation
triage prototype, client request, workflow, risk
harden data flow, evals, auth, logging, handoff
connect product stack, CRM, docs, APIs, dashboards
partner founder team, agency, consultant, operator
Offer ladder
Start premium. Rescue or ship one serious AI system. Grow into retainers and repeatable packages.
The first $100k path is focused: win serious rescue and implementation projects, support partner-led client work, and turn repeated patterns into a vertical package later.
AI Prototype Rescue / Productionization
$15k–$50k depending on scopeStabilize an AI/no-code demo, inspect architecture and data flow, add reliability checks, and move the strongest MVP slice toward real use.
AI Implementation Sprint
$10k–$25k typical rangeBuild one working AI-enabled product feature, internal workflow, integration, dashboard, or document/knowledge system connected to real tools.
Agency / Consultant Build Partner
Scoped per client engagementQuietly support client-facing advisors with AI discovery, implementation, technical review, and production-path delivery behind their relationship.
AI Systems Retainer
$4k–$12k/month starting rangeKeep the system reliable, monitor breakage, support adoption, improve workflows, and build the next AI capability after the first win.
Focused lanes
Combine premium implementation boutique with prototype rescue first.
PitTechs is intentionally narrowing the first growth stage around founder-led AI builds, broken prototypes, and partner channels. Other markets can fit when the pain and budget are obvious, but insurance is not a focus lane.
Startups and founders with broken AI prototypes
For demos that worked once, no-code AI builds that are stuck, RAG tools with weak answers, or MVPs that need auth, evals, deployment, logging, and real integrations.
Agencies and consultants with client AI demand
For operators, CRM advisors, fractional COOs, marketing/web agencies, and consultants who own the relationship but need a senior AI systems builder behind the work.
Selective high-value AI workflow systems
For companies with a repeated workflow, clear owner, enough budget, and a measurable outcome — documents, reporting, knowledge, sales/support, product ops, or internal tools.
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AI Systems Diagnostic
Start by finding the production-ready slice.
Most AI projects do not need more hype. They need a sharp technical read on what is broken, what is worth building first, and what has to be true before real users rely on it.
The diagnostic maps the prototype, client request, or workflow; identifies the strongest implementation path; and turns it into a scoped rescue, sprint, or partner build plan.
Start the AI Systems DiagnosticMap the current state
Capture the prototype, workflow, users, tools, data flow, model calls, handoffs, and known failure modes.
Find the highest-value slice
Rank rescue/build paths by buyer value, feasibility, data readiness, reliability risk, and speed to a credible first win.
Define the sprint
Turn the best path into a practical scope with users, inputs, outputs, integrations, evals, phases, and acceptance criteria.
Clarify boundaries
Work from interviews, tool lists, sanitized examples, and architecture notes. Do not submit secrets, private records, or production credentials through the form.
Demo systems PitTechs can build first
Prototype rescue review
Agency AI brief builder
Workflow cockpit
Evals + source checks
Diagnostic CTA
Demo workflows
Show the exact kind of work PitTechs sells.
The first demos should prove PitTechs can rescue broken AI prototypes, help agencies scope client AI requests, and turn messy workflow notes into a production-path system with evals, logging, human review, and clear next steps.
Proof of work
What a serious founder or partner gets before code touches production.
PitTechs turns AI interest into practical artifacts: architecture review, failure-mode notes, data boundaries, eval plan, implementation scope, and a handoff path a real team can operate.
Architecture review
Data flow, model calls, integrations, auth, storage, deployment assumptions, and fragile dependencies made visible.
Risk boundaries
Where human review, sensitive data handling, access control, hallucination risk, and auditability matter.
Implementation scope
A buildable first slice with acceptance criteria, eval checks, integrations, rollout steps, and practical handoff notes.
Partner-ready brief
For agencies and consultants: client questions, sprint options, technical dependencies, and the build path PitTechs can own.
What PitTechs builds
AI systems with enough engineering discipline for real users.
Services are intentionally focused: diagnose the right production slice, rescue fragile AI builds, implement one valuable system, or support partner-led client work.
AI Systems Diagnostic
A paid review for founders, startups, and agency partners who need the first high-value AI build scoped around users, data boundaries, risks, and a production path.
AI prototype rescue / productionization
Audit fragile AI demos, no-code builds, LLM/RAG tools, and early MVPs; identify reliability gaps; then harden the smallest production-ready slice.
AI implementation sprint
Build one serious AI-enabled workflow, product feature, internal tool, or integration in tight delivery loops with working software as the outcome.
Agency and consultant AI build partner
Support consultants, agencies, fractional operators, and CRM/workflow advisors who have clients asking for AI but need senior implementation behind the scenes.
Evals, guardrails, deployment, and monitoring
Add the engineering pieces AI projects need before real users depend on them: test sets, evaluation checks, auth, logging, admin views, and deployment support.
Product, CRM, and operations integrations
Connect AI workflows to SaaS products, CRMs, forms, calendars, email, documents, dashboards, APIs, and the systems already driving the business.
AI systems retainer
Ongoing automation support, monitoring, client-delivery support, new workflow improvements, staff enablement, and monthly system roadmap review.
Vertical AI workflow packages
After repeated demand is proven, PitTechs turns similar rescue and implementation patterns into packaged systems for one focused market.
Supporting capabilities
AI is the focus. Full-stack delivery makes it usable.
Prototype rescue and partner implementation usually need more than prompts: interface work, APIs, dashboards, auth, deployment, monitoring, and clean handoffs into the buyer's existing stack.
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System hardening
Basic safeguards for the tools around the automation.
PitTechs can help tighten the practical pieces around a workflow: access cleanup, backup checks, DNS/email posture, account hygiene, deployment settings, and safer operating procedures.
How work moves
Clear enough for founders and partners. Technical enough for real AI systems.
No AI theater. Just triage, scoped production slices, tight build loops, evals, handoff, and a path into retainer support or a repeatable package.
Triage the real opportunity
Identify whether the strongest move is prototype rescue, a founder/product build, a partner-supported client engagement, or a selective operations workflow.
Scope the production slice
Choose the smallest valuable build with clear users, data flow, integrations, quality checks, human review, and acceptance criteria.
Build in tight loops
Ship visible increments, harden failure cases, connect the stack, and keep scope anchored to business value instead of AI theater.
Operate or package what works
Document the handoff, monitor the system, retain support where useful, and turn repeatable patterns into vertical packages over time.
Start simple
Send the prototype, client request, or AI workflow you want to make real.
Best first message: what exists today, where it breaks, what users need, which tools/data are involved, and what a credible first production slice should accomplish.
Start the diagnostic
Prefer email? hello@pittechs.com