$ cd services/ai-projects

AI Projects,
Fixed Price.

14 specialized AI agents supervised by senior engineers deliver your AI initiative on time, on budget, with SLA-backed guarantees — no surprises, no overruns.

14 AI agents on every project
100% on-time delivery rate
Fixed price, SLA guarantee
$ yameo-ai --run-agents --project=your-initiative

14 Agents. One Senior Engineer.
Zero Surprises.

agent-runtime.log — yameo-ai v3.4.1
$ yameo-ai spawn --project="insurance-claims-classifier" --agents=14 [BOOT] Supervisor senior-engineer-oversight // SLA enforcement active [OK] agent:requirements Parsed 38 acceptance criteria from spec doc [OK] agent:architecture Selected microservice topology, Azure-native deployment [OK] agent:data-pipeline Ingestion schema validated — 11 source fields mapped [OK] agent:model-selector Fine-tuned GPT-4o chosen; fallback to rule engine at confidence < 0.72 [OK] agent:backend REST endpoints scaffolded — 7 routes, OpenAPI 3.1 spec generated [OK] agent:frontend Review dashboard wired to live inference API [OK] agent:tests 217 unit tests, 34 integration tests — coverage 94.1% [OK] agent:security GDPR data-flow audit passed; PII fields encrypted at rest [OK] agent:compliance Insurance regulatory checklist: 12/12 controls passed [OK] agent:infra Terraform plan applied — auto-scaling 2–16 replicas [OK] agent:monitoring Alerts configured; p95 latency baseline < 320ms [OK] agent:docs API reference, runbook, and handover guide exported [OK] agent:qa UAT scenarios verified with client stakeholders [OK] agent:delivery Production deploy — on schedule, under budget [DONE] Project closed. SLA met. Invoice final.
// How It Works

AI-Native Delivery,
Human Accountability.

We don't use AI to cut corners. We use it to eliminate the waste that inflates timelines and budgets — boilerplate, scaffolding, test generation, documentation — so senior engineers can focus on the hard decisions that actually matter.

Every project is supervised by a named Yameo senior engineer who is personally accountable for delivery. They set the architecture, review agent output, catch edge cases, and sign off every milestone. The agents move fast. The engineer keeps it right.

The result: fixed-price contracts you can actually trust, backed by SLAs with real penalty clauses — not best-effort estimates that quietly expand into overruns.

ai-project-contract.ts
interface AIProjectContract {
  pricing: "fixed_price";
  delivery: "SLA_backed";
  agents: number; // always 14
  supervisor: SeniorEngineer;
  milestones: Milestone[];
  guarantees: {
    onTimeDelivery: true;
    noCostOverruns: true;
    testCoverageFloor: "90%";
    complianceAudit: true;
  };
  industries: [
    "insurance",
    "banking",
    "healthcare",
    "government",
    "NGO"
  ];
}
// Delivery Speed Comparison

AI-Native Delivery Is
Measurably Faster

Weeks to deliver the same scope: Yameo AI-native model vs. a traditional delivery team, across common AI initiative types.

Document
Classifier
Yameo
Document
Classifier
Traditional
RAG
Chatbot
Yameo
RAG
Chatbot
Traditional
Predictive
Model
Yameo
Predictive
Model
Traditional

How we do it: AI agents handle scaffolding, test generation, documentation, and boilerplate in parallel. Senior engineers focus exclusively on architecture, domain logic, and quality gates. 2–3x faster delivery at fixed cost — not by cutting corners, but by eliminating waste.

// Deliverables Included

What You Get

Every AI project ships with production-ready code, full documentation, compliance validation, and post-launch SLA support — all included in the fixed price.

Fixed-Price Contract

Scope, timeline, and price agreed before any code is written. No change-order surprises. If we underestimate, that is our problem — not yours.

14-Agent AI Pipeline

Specialized agents handle requirements, architecture, data pipelines, model selection, backend, frontend, testing, security, compliance, infrastructure, monitoring, docs, QA, and delivery — all running in parallel.

Senior Engineer Oversight

A named Yameo senior engineer owns every project end-to-end. They set the architecture, review all agent outputs, and are personally accountable for SLA compliance and final delivery.

Compliance by Default

GDPR, HIPAA, SOC 2, and PCI validation built into every project from sprint one. Our compliance agent runs regulatory checklists at each milestone — not as a last-minute checkbox at the end.

SLA-Backed Monitoring

Post-launch monitoring with defined incident response times, uptime floors, and model performance thresholds written into the contract. We do not disappear after go-live.

Full Handover Package

API documentation, architecture diagrams, runbooks, model cards, and a recorded walkthrough. Your internal team can maintain and extend the system from day one — no dependency on us required.

GET 200 /api/ai-projects/ideal-clients

Who This Is For

GET /api/ai-projects/ideal-clients — 200 OK
{   "ideal_clients": [     {       "profile": "First AI Initiative",       "situation": "Board has approved AI budget; no in-house ML expertise",       "need": "Deliver a real result fast, without hiring a data science team",       "industries": ["insurance", "banking", "healthcare"]     },     {       "profile": "Failed or Stalled Proof-of-Concept",       "situation": "Internal or vendor PoC stalled; no clear production path",       "need": "Production-grade delivery with compliance and SLA from day one",       "risk_tolerance": "low — fixed price required"     },     {       "profile": "Regulated Industry Operator",       "situation": "GDPR, HIPAA, or PCI makes internal AI adoption high-risk",       "need": "Compliance-first AI delivery that passes your auditors",       "examples": ["ERGO Hestia", "Raiffeisen Bank", "AON"]     },     {       "profile": "Process Automation Target",       "situation": "Specific manual workflow costing > 200K EUR/yr in labor",       "need": "ROI-positive AI system with a clear payback timeline",       "typical_roi": "12–18 months payback"     }   ],   "not_a_fit": "Exploratory research with no defined success criteria",   "minimum_project_size": "40,000 EUR",   "estimate_turnaround": "5 business days" }
// The Model Explained

Why Fixed-Price AI Delivery Works

01

Agents Eliminate the Unpredictable Work

The reason AI projects overrun is not innovation — it is scaffolding, documentation, test writing, and integration boilerplate. Our 14 agents handle all of that in parallel, removing the long tail of effort that breaks traditional estimates and turns "8-week projects" into 6-month ordeals.

02

Senior Engineers Absorb Domain Risk

Every project has a named Yameo senior engineer who owns the outcome. They have collectively delivered 120+ projects across insurance, banking, healthcare, and NGOs. Domain unknowns that would derail a new team are known problems with known solutions to them.

03

21 Years of Regulated Industry Patterns

We have been building software for GDPR-regulated, PCI-certified, and HIPAA-compliant environments since 2005. Compliance is not a late-stage checklist for us — it runs inside agent:compliance and agent:security from sprint one, on every project, without being asked.

04

Fixed Price Aligns Incentives Correctly

On a time-and-materials contract, a slow vendor earns more. On our fixed-price model, we win by delivering faster and more efficiently. AI agents are our leverage — the better they perform, the better our margin and the faster your outcome. Our incentives are your incentives.

05

SLAs With Real Teeth

Our SLAs define incident response times, uptime floors, and model performance thresholds in writing. If we miss them, penalty_clauses apply — no wiggle room. We can offer this because we have maintained 100% on-time delivery across 120+ projects over 21 years.

06

Your Team Owns It After Handover

We write code your engineers can maintain. Runbooks, model cards, architecture decision records, and a live walkthrough session mean your team is not locked into us after go-live. Ongoing SLA support is available — but it is an option, not a dependency we manufacture.

// Next Step

Tell Us the Problem.
We'll Price It Fixed.

Share your AI initiative — even a rough idea — and we will scope it, estimate it, and give you a fixed price within 5 business days. No commitment required.

Get a Fixed-Price Estimate →