solutions@disolutions.net
+91-9904566590
Move the sliders to your real week. See what those hours actually cost you — at rates anywhere from a VA ($10/hr) to your own time as an owner ($400/hr).
01 — Your Week
29hrs/wk
Email & inbox
writing, replying, sorting
Content & posts
writing, editing, scheduling
DMs & customer chat
Instagram, Messenger, replies
Admin & busywork
invoices, scheduling, spreadsheets
02 — Your Time Value
$25/hr
Hourly rate
Freelancer
What it's costing you
Live29 hrs/week × $25/hr
$37,700
per year in your own time
One agent costs
$30 – $200/month to run. Pays for itself in week one.
A predictable, phase-by-phase sprint that takes your AI MVP from whiteboard to production. Each phase has a clear deliverable, a demo, and a go/no-go gate — so you always know where the project stands.
01
Week 0 – 1
Find the one problem worth solving with AI.
We sit with your team, audit the workflow, and pinpoint where AI actually moves the needle. By the end of week one you have a sharp problem statement, success metrics, and a build-vs-buy decision.
What you get
02
Week 1 – 3
Wireframes, data flow, and an AI architecture you can defend.
Our designers and ML engineers map the user journey, the data pipeline, and the model architecture in parallel. You see clickable flows and a system diagram before a single line of production code is written.
What you get
03
Week 3 – 6
Ship the product shell — auth, UI, APIs, the spine.
We build the application skeleton in production-grade code. Auth, dashboards, integrations, and the API surface go in first so the AI layer has somewhere real to plug into.
What you get
04
Week 6 – 8
Plug in the model. Tune it on your data.
We integrate the right model — fine-tuned LLM, custom ML, or a RAG stack — and wire it into the product. Prompts get tested, guardrails go in, evaluations run on real data, not toy examples.
What you get
05
Week 8 – 10
Real users. Real edge cases. Real load.
Functional QA, AI red-teaming, performance and security testing all run in parallel. We don't ship until accuracy hits the bar agreed in week one and the system holds under expected load.
What you get
06
Week 10 – 12
Go live. Monitor. Hand the keys back.
Production deployment, observability dashboards, and a 30-day hyper-care window. Your team gets the runbooks, the model registry, and a roadmap for V2 — not a black box.
What you get
