What makes an enterprise MVP different from a startup MVP?

Three things: security posture (SSO, audit logs, encryption-at-rest, data residency), deployment model (private cloud or on-prem instead of shared Vercel / Supabase), and procurement (legal review, MSA, security questionnaires). The build itself can still be fast — we just lay the security and procurement track in parallel with the engineering sprint.

How long does a bespoke enterprise MVP take?

Standard 14-day delivery for the engineering work. Procurement, security review, and SSO provisioning typically add 2–6 weeks on the enterprise side — but that's parallel work, not blocking. Most engagements run end-to-end in 4–8 weeks from kickoff to production rollout inside the enterprise.

Can you deploy on our private cloud or on-prem?

Yes. We default to your AWS, Azure, or GCP account so the data never leaves your perimeter. On-prem and air-gapped deployments are supported on Custom engagements — we'll discuss whether your AI feature can run in an air-gapped environment (some can with on-prem models; some require external LLM calls).

Do you support SSO, audit logging, and SOC 2 controls?

Yes. SSO via SAML or OIDC (Okta, Azure AD, Google Workspace), audit logging on every state-changing action, encryption-at-rest, and the technical controls required by SOC 2 are all part of standard enterprise scope. We don't sell SOC 2 itself — that's your auditor — but the controls we ship through are the ones your auditor will look for.

Will you sign our MSA and security questionnaire?

Yes. We work with most standard enterprise MSAs and complete security questionnaires (CAIQ, custom, vendor-portal). Bring us the docs as early as possible — they're typically the rate-limiting step, not the build.

Who owns the code in an enterprise MVP engagement?

You do. Full IP transfer at delivery, work-for-hire clause in the MSA. Your enterprise can maintain, modify, and redeploy the code without any continuing license fee or platform dependency on TaskifyLabs.

What's the typical price band?

Custom enterprise MVPs start at $7,500. Most engagements run $7,500–$25,000 depending on scope, security depth, and deployment complexity. We always quote fixed-price upfront after the scoping process — never hourly, never time-and-materials.

Can you work with our internal engineering team?

Yes. We routinely pair with enterprise engineering teams — pull requests against your repo, your code-review process, your CI/CD. Our typical model is "senior engineer embedded for a sprint" rather than "vendor delivery in a black box". Up to you which mode fits.

Enterprise MVP Development

Bespoke enterprise MVP development — secure, scoped, shipped.

Custom AI MVPs for enterprise teams. SSO, audit logs, private-cloud deployment, full IP transfer. 14-day engineering sprint inside a 4–8 week end-to-end engagement.

See enterprise case studies

Free. No obligation. Live quote on the call.

50+ MVPs & automations delivered
Tier-1 clients only
1,500+ subscribers on YouTube
Always on time.

Pricing

What does an enterprise MVP cost?

Fixed-price, quoted after a scoping engagement. Most enterprise MVPs run $7,500–$25,000 depending on scope, security depth, and deployment complexity. Never hourly, never time-and-materials.

Custom enterprise engagement

4–8 weeks E2E

$7,500+

Quoted after scoping. Most engagements $7,500–$25,000.

What every enterprise MVP includes:

Custom-scoped AI MVP designed around your internal use case
SSO (SAML / OIDC — Okta, Azure AD, Google Workspace)
Audit logging on all state-changing actions
Encryption-at-rest, environment isolation, secret rotation
Deployment to your AWS / Azure / GCP (or on-prem)
MSA, NDA, and security questionnaire support
Pair-with-your-team or vendor-delivery model
Full IP transfer + repository handoff at delivery

Why enterprise teams pick us

Why enterprise teams choose TaskifyLabs for bespoke MVPs.

14 engineering days, 4–8 weeks end-to-end

Engineering ships in 14 days. Security review, procurement, and SSO provisioning run in parallel. End-to-end timelines are weeks, not quarters — even with enterprise controls.

Enterprise-grade security from day one

SSO, audit logs, encryption-at-rest, and SOC 2-aligned controls baked into the standard build — not retrofitted later. Pass procurement faster.

Your cloud, your data, your IP

Deploy to your AWS / Azure / GCP. Data never leaves your perimeter. Full IP transfer at delivery — work-for-hire, your auditor will be happy.

Pairs with your engineering team

Embedded senior engineer model — pull requests against your repo, your code review, your CI. Or vendor delivery if your team is fully booked. You choose.

How an enterprise MVP gets delivered

From scoping to rollout in 4–8 weeks.

01Week 0

Discovery — use case, security posture, deployment model

Scope the AI feature, define data flows, identify integration points (SSO, data sources, downstream systems), agree on deployment target. Fixed-price quote signed.

02Week 1

Architecture + security review + procurement

Architecture doc, threat model, security questionnaire response. Parallel: MSA / NDA review, SSO provisioning kickoff with your IT team.

03Week 2–3

Build sprint inside your cloud

Engineering ships in 14 days into a non-prod environment in your AWS / Azure / GCP. Daily commits, weekly demo with your stakeholders.

04Week 4+

Production rollout + handoff

Production cutover after security sign-off, walkthrough with your internal team, documentation, IP transfer. Optional embedded retainer for iteration.

Enterprise MVPs we've shipped

Bespoke AI MVPs inside enterprise environments.

Engagements completed under NDA — details are anonymized. Shape, security posture, and outcome are representative of typical enterprise builds.

Enterprise MVP5 weeks E2E

AI document-analysis tool for a financial-services team

Bespoke AI MVP for a regulated financial-services client. SSO via Okta, audit logs, deployed inside their AWS perimeter. LLM calls routed through an internal proxy for compliance.

Engineering days: 14
End-to-end weeks: 5
Stack: Next.js + AWS

Enterprise MVP6 weeks E2E

Internal RAG workspace for a mid-market healthcare org

Custom RAG-over-internal-docs MVP. Azure deployment, Azure AD SSO, audit logging to their SIEM. AI provider chosen for HIPAA-eligible terms.

Engineering days: 14
Total weeks: 6
Users at rollout: 120

Enterprise MVP4 weeks E2E

AI sales-ops tool embedded in a Salesforce-heavy enterprise

Bespoke AI tool that ingests Salesforce data, runs LLM-based deal scoring, and writes structured insights back into Salesforce. Deployed in their GCP, SSO via Google Workspace.

Engineering days: 14
Total weeks: 4
Reps onboarded: 60

Discuss an engagement like this

Frequently asked

Enterprise MVP questions, answered.

For larger or specialized scopes.

AI Consulting →AI Automation →MVP Development overview →For Operators →

Ready to scope?

Discuss an enterprise MVP in 30 minutes.

30-min scoping call. Fixed-price quote after the discovery. Engineering ships in 14 days; full rollout in 4–8 weeks. Your cloud, your data, your IP.

Free. No obligation. Live quote on the call.