Question 1

Where is MVVP Consulting based?

Accepted Answer

We're headquartered in Novi, Michigan, with delivery talent across the US, LATAM, and India so we can cover most time zones.

Question 2

How quickly can you start an engagement?

Accepted Answer

Discovery calls happen within 24 business hours. Most staffing requests are shortlisted in 3–5 business days; project-based QA or AI engagements typically kick off within 1–2 weeks of a signed SOW.

Question 3

What engagement models do you offer?

Accepted Answer

Fixed-scope projects, managed team pods (we own outcomes), and staff augmentation (you own the roadmap, we embed senior engineers). Most clients mix models as their needs evolve.

Question 4

Do you sign NDAs and MSAs?

Accepted Answer

Yes — mutual NDAs before we exchange sensitive material, and MSAs with SOWs for any billable work. We can also work under your paper.

Question 5

What kinds of AI projects do you take on?

Accepted Answer

Applied LLM work — retrieval-augmented assistants, document intelligence, copilots for internal teams, workflow automation, and evaluation harnesses. We focus on production systems, not lab experiments.

Question 6

Which models and platforms do you work with?

Accepted Answer

OpenAI, Anthropic, Google, and open-weights models on AWS Bedrock or Azure AI Foundry. We're model-agnostic and pick based on cost, latency, and your data residency needs.

Question 7

How do you handle data privacy and hallucinations?

Accepted Answer

We default to your cloud tenant, use retrieval grounding with citations, add evaluation suites for accuracy/toxicity/PII, and add human-in-the-loop review for anything that touches customers or regulated data.

Question 8

Can you productionize a prototype we already have?

Accepted Answer

Yes — we do a lot of 'lab to production' work: hardening prompts, adding evals, wiring auth/RBAC, cost controls, monitoring, and CI/CD.

Question 9

What testing types do you cover?

Accepted Answer

Functional, regression, API, end-to-end UI, performance/load, accessibility (WCAG), security regression, and mobile — plus test strategy and QA process design.

Question 10

Which automation frameworks do you use?

Accepted Answer

Playwright and Cypress for web, Appium for mobile, REST Assured and Postman/Newman for APIs, k6 and JMeter for performance. We'll adopt your existing framework if it's healthy.

Question 11

Do you replace our QA team or work alongside them?

Accepted Answer

Both. We stand up net-new QA practices, augment existing teams during release crunches, and run managed QA pods that own quality end-to-end.

Question 12

How do you measure QA success?

Accepted Answer

Regression time, escaped defects, automation coverage of critical paths, MTTR on prod issues, and release cadence — agreed upfront and reported in a shared dashboard.

Question 13

What roles do you staff?

Accepted Answer

IT roles across QA (SDETs, automation, performance), AI/ML (engineers, data scientists, MLOps), cloud/DevOps, full-stack engineering, data engineering, product/BA, and PM.

Question 14

What are your engagement types?

Accepted Answer

W2 contract, contract-to-hire, and direct-hire placements. US-based, LATAM-nearshore, and India-offshore options.

Question 15

How do you screen candidates?

Accepted Answer

Recruiter screen, technical screen by a practicing engineer in that discipline, and a paid technical exercise for senior roles. You only see 2–4 vetted profiles per requisition.

Question 16

What if a placement doesn't work out?

Accepted Answer

Contract placements have a no-fee replacement window (typically the first 2 weeks). Direct-hire placements carry a standard replacement guarantee spelled out in the SOW.

Question 17

Do you handle compliance and payroll for contractors?

Accepted Answer

Yes — W2 employment, benefits, payroll, background checks, drug screens, and E-Verify are all handled by us. You get a single invoice.

Question 18

How do you price engagements?

Accepted Answer

Time-and-materials for open-ended work, fixed-fee for well-scoped projects, and monthly retainers for managed pods. Staffing is a blended hourly bill rate.

Question 19

Do you require long-term commitments?

Accepted Answer

No. Most engagements have 30-day exit terms. We'd rather earn the next quarter than lock you in.

Question 20

Can we start with a small pilot?

Accepted Answer

Absolutely — 2 to 4 week paid pilots are common, especially for AI and QA automation work. It's the fastest way to prove fit before scaling.

Straight answers about how we work

General

AI Services

QA Services

Staffing

Pricing & Contracts

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