Full Lifecycle AI Agent Delivery

End to end AI agent implementation is the full lifecycle delivery of a production AI agent program by a single senior team — discovery and scoping, architecture and design, build on LangGraph / CrewAI / AutoGen, CRM/ERP integration via Model Context Protocol or native SDK, eval harness with continuous evaluation, security review and penetration testing, NIST AI RMF / EU AI Act compliance documentation, user acceptance testing, phased production cutover, runbook authoring, knowledge transfer and managed-services handoff. Same team end-to-end, fixed scope, fixed price.

Staff augmentation puts senior engineers into your team; you own outcomes, project management, scope and risk. End-to-end implementation puts a complete senior team — architects, full-stack engineers, integration specialists, security reviewers, SRE — under our accountability with fixed scope, fixed price and a named delivery lead. We own outcomes. You own acceptance.

Both deliver code, but the entry point differs. AI agent consulting and development starts with uncertainty — “where do we start, should we buy or build, which LLM, which framework?” and flows into delivery once strategy is clear. End-to-end AI agent implementation starts with a defined plan — you know the use case and want one team to ship the full lifecycle. Consulting flows into end-to-end naturally; many engagements combine both.

Four standard program durations. 6 weeks — single-agent implementation with 1–2 integrations ($100K–$150K). 10 weeks — multi-workflow implementation with 2–3 agents and 3–5 integrations ($200K–$300K). 14 weeks — multi-agent system with 3–5 specialist agents and full compliance documentation ($300K–$450K). 22 weeks — enterprise platform with 5+ agents, 8+ integrations, fine-tuning and FedRAMP / IL5 / HIPAA-covered controls ($450K–$600K+).

Fixed-scope pricing tied to program complexity. 6-week single-agent: $100K–$150K. 10-week multi-workflow: $200K–$300K. 14-week multi-agent system: $300K–$450K. 22-week enterprise platform: $450K–$600K+. Custom enterprise programs for FedRAMP / IL5 / HIPAA-covered programs typically $600K–$1.2M. All pricing is fixed before kickoff with milestone-based payment.

Fixed-scope aligns incentives. With T&M we get paid more if the project runs longer — your interests and ours diverge. With fixed-scope we get paid the same regardless of how long it takes — our interests align with shipping on time and on budget. Fixed-scope also forces a written, agreed SoW before kickoff, which surfaces scope ambiguity early. We use T&M only for exploratory work; production builds are always fixed-scope.

Week 1 — discovery workshop, SoW sign-off, sandbox provisioning. Weeks 2–3 — reference architecture, LLM benchmarking, integration design, eval harness setup. Weeks 4–5 — agent build, integration build, iterative evals. Week 5–6 — UAT, security review, pen testing, NIST AI RMF documentation, phased canary cutover. Week 6 end — production go-live, runbook handoff, managed-services transition or independence with 30-day stabilisation.

Weeks 1–3 — strategy & readiness, multi-agent topology design, vendor selection. Weeks 4–6 — reference architecture, MCP server design for 8+ enterprise systems, compliance scoping. Weeks 7–14 — multi-agent build, custom fine-tuning, deep CRM/ERP integration, full eval harness. Weeks 15–18 — security review, pen testing, NIST AI RMF + EU AI Act documentation, UAT. Weeks 19–22 — phased canary cutover, Gold-tier managed-services activation, 30-day stabilisation with named incident commander.

Eleven core deliverables: (1) production-running AI agent platform in your cloud; (2) source code with full Git history and your IP ownership; (3) reference architecture documentation; (4) deployment runbook; (5) SRE on-call playbook; (6) NIST AI RMF system and model cards; (7) EU AI Act conformity assessment (if EU); (8) HIPAA / SOC 2 / GDPR evidence packet (per industry); (9) third-party penetration test report; (10) recorded knowledge transfer sessions; (11) 30-day post-cutover stabilisation support.

Scope changes are common and handled through a formal change-request process. Material scope changes (new use cases, additional integrations, expanded compliance) result in a written change-order with revised milestones and price. Minor scope refinements within the original SoW envelope are absorbed at no additional cost. We aim to flag scope creep risk early — usually during the discovery phase or first iteration review.

Yes. The 1–2 week discovery phase is available as a standalone $15K–$25K fixed-fee engagement. At the end you receive the written SoW, fixed-price estimate for the full implementation and a phased delivery proposal. You choose to continue with us, pause to evaluate options or take the SoW to another vendor. About 85% of our discovery engagements convert to full implementation.

Typical team for a 14-week implementation: 1 named senior delivery lead (architect / engineering manager), 2–3 senior full-stack engineers, 1 prompt-ops / eval specialist, 1 integration engineer per major system (CRM / ERP / ITSM), 1 SRE / DevOps engineer and 1 security / compliance lead. All senior, all certified, all dedicated to your program. Same team throughout — no junior offshoring on production code or architecture decisions.

Three integration patterns. (1) Joint delivery — your engineers pair with ours on specific deliverables; we lead delivery, they own knowledge. (2) Hands-off delivery — we deliver, your team observes through weekly demos and inherits at handoff. (3) Hybrid — your team owns business logic / prompts / use cases, we own architecture, infrastructure and ops. Pattern is decided in discovery and documented in the SoW.

Yes, embedded throughout. Discovery includes named executive sponsor and business owner per workflow. Weekly status reports with progress against milestones, risks, decisions needed. Bi-weekly executive briefings. Pre-cutover communication plan with named change champions, training materials and FAQ for affected users. Post-cutover satisfaction survey at 30 / 60 / 90 days. Critical for enterprise rollouts where AI agent adoption is half the battle.

Three paths your team chooses. (1) Managed services — production agent moves to Bronze / Silver / Gold managed AI agent services tier (most common — 70% of clients). (2) Operational independence — your in-house team operates with 30-day stabilisation and quarterly architecture reviews from us. (3) Staff augmentation — DreamzTech engineers continue in your team for ongoing build (next agent in roadmap). Path is decided pre-cutover and documented.

Multi-vendor builds typically take 9–18 months and cost 40–60% more because each handoff between vendors loses context (strategy firm hands off to SI; SI hands off integration team; integration team hands off security; security hands off ops). Each handoff is a re-discovery cycle. End-to-end implementation eliminates handoffs — one team owns the full lifecycle. Most clients ship 3–6 months faster at 40–60% lower delivered cost.

Big-4 typically deliver strategy and then subcontract or staff-augment delivery — their senior partners advise, their consultants document, and their offshore teams build. Result: strategy quality is high but delivery quality varies. End-to-end implementation keeps senior architects accountable through build — same team advises and ships. Most clients pay 30–50% of Big-4 rates for engagements that ship working code at the end.

Compliance scoping is part of discovery, not retrofitted. The reference architecture includes audit log emission, RBAC, PII redaction and human-in-the-loop checkpoints by design. NIST AI RMF system and model cards are drafted during build, not after. EU AI Act technical documentation is maintained throughout. Pen testing happens before cutover, not after audit findings. SOC 2 / HIPAA / GDPR evidence packets are produced concurrent with the build, ready for your audit team at go-live.

Yes — we deliver on whichever cloud you have. AWS Partner, Microsoft Solutions Partner and Google Cloud Partner with senior architects certified across all three. We also deliver on AWS GovCloud, Azure Government, Google Cloud Public Sector, on-premise and hybrid configurations. Multi-cloud implementations (e.g., Bedrock + Azure OpenAI + Vertex in one workflow) are supported. Air-gapped delivery available for defense, intelligence and regulated finance.

Eight primary verticals — Healthcare (HIPAA prior-auth, clinical Q&A), BFSI (SOX-compliant AP, KYC/AML, lending), Legal (M&A due diligence, contract intelligence), Insurance (claims, fraud, underwriting), Retail (customer service, recommendation), Manufacturing (shop-floor, supplier QA), Public Sector (FedRAMP / GovCloud / IL5) and HR/Talent (onboarding, employee self-service). Each program includes industry-specific compliance documentation.

Expedited 4-week single-agent implementations available for time-critical scenarios — typically charged at 1.5× standard rate ($150K–$225K) with a 4–6 person dedicated team. Common triggers: regulatory deadline, competitive launch, integration deprecation, M&A close. Pre-conditions: clearly defined scope, named executive sponsor on-call, sandbox / production access ready at kickoff.

Selectively, for large enterprise programs ($400K+). Structure: 70% fixed-scope on milestones, 30% success-fee tied to measurable post-cutover KPIs (e.g., ticket deflection rate, hours saved, cost savings at 6-month mark). Available for clients with auditable baseline data and willingness to share outcomes data. Not available for fast-track or compliance-only programs where success is binary.

Four phases — the DreamzTech DELIVER Framework: Discover (scoping workshops, SoW); Engineer (reference architecture, agent build, integration, eval harness); Secure (pen testing, NIST AI RMF, EU AI Act, HIPAA / SOC 2 / GDPR evidence); Launch (canary cutover, runbooks, knowledge transfer, managed-services handoff). Same senior team across all phases.

Book a free 30-minute implementation architect call. Bring your AI agent program plan — use case, target workflow, integration scope, compliance needs, timeline, budget — and a senior architect will recommend a program duration (6 / 10 / 14 / 22 weeks), phased deliverables and a fixed-scope budget range. Written proposal within 1 business day. Optional: start with a 2-week discovery engagement ($15K–$25K) to get a precise SoW before committing.