Win more of the right work, with less senior time and fewer commercial mistakes.
An AI-implementation studio that turns a messy inbound opportunity into a scoped, priced, human-approved proposal — built for founders and managing partners at Indian consulting firms selling to US/UK clients.
For export-oriented Indian consulting firms selling to US/UK clients — sold to the founder or managing partner who owns win rate and senior time.
Why do proposals take so long — and cost you margin when you win?
You send 8 proposals a month. Your best delivery person still writes each one from a blank Google Doc at 9pm. Last quarter you won a deal and found out halfway through that you'd under-scoped the integration by sixty hours — you didn't lose the deal, you ate the margin. The proposals that lose? You rarely find out why. Sound familiar?
For export-oriented Indian consulting firms doing 10+ discovery calls a month, the win-work workflow quietly drains senior time and erodes margin — and it's the one process no tool actually owns.
Your best people are buried in proposals
Senior delivery leads spend nights writing SOWs from a blank page instead of selling or delivering.
Deals get under-priced and over-scoped
Inconsistent scope-to-estimate logic means margin leaks before the SOW even goes out.
You lose bids to slow, generic responses
A sharper, better-shaped proposal — turned around faster — is the difference on the deals worth winning.
Nothing compounds
Every proposal is a one-off. Your best scopes and estimates never become a system that gets smarter.
From a messy opportunity to a commercially sound proposal — with a human accountable for every word.
This is not "AI writes proposals faster." It's a deal-shaping system that catches the under-pricing and scope-creep mistakes before the SOW goes out, tuned to how your team actually wins.
Past proposals, RFPs, discovery notes
Reconstructed requirements + gaps
Effort/cost with stated assumptions
A clean draft in your format
See it on three of your own real deals.
Sign an NDA and we run the Proposal Workflow Diagnostic in a sandboxed environment — scope, estimate, risk flags and a client-ready proposal draft, with the mistakes you actually made (or nearly made) called out. Proof on your data, never a public demo.
The Commercial Decision Package — what a founder or managing partner actually wants to see before a SOW goes out.
It's what the OS produces from a single real opportunity. Five layers, every claim sourced, then a clean proposal draft in your format.
What is actually being asked for
- Requirements pulled from calls, emails & briefs — each tied to a source quote
- Ambiguities flagged; missing requirements surfaced as discovery questions
- Blocking unknowns separated from nice-to-haves
Effort, cost & staffing — defensible
- Effort/cost ranges with a stated assumption behind every number
- Proposed team, milestones and a contingency you can justify
- Confidence levels so you know where the estimate is soft
Where this deal will hurt you
- Under-priced, over-scoped and scope-creep-prone areas, by severity
- "If you shipped it as-is, here's the exposure" notes
- Each flag paired with a concrete mitigation
How to raise win probability & margin
- Phasing and sequencing to de-risk the buyer's decision
- Positioning tuned to your past winning patterns
- Pricing moves that protect margin without losing the deal
Commercial Decision Package
Prepared by aiproservice.io
opportunity : Real-time inventory & BOPIS confidence : 0.74 requirements : R1 unified stock ledger (<60s) must R2 prevent overselling must R5 10x peak load must missing_info : ! Oracle POS version / interface? (blocking) ! # stores & SKUs in scope? (blocking) estimate : effort ~ 95 dev-days team 2 BE · 1 integ · 0.5 PM range $128k - $172k assumes POS exposes a usable API risk_flags : x HIGH peak-load untested -> SLA exposure x MED POS integration under-scoped x MED BOPIS change-mgmt unowned win_shaping : > Phase 1: sync + availability, then BOPIS > Tie payment to load-test acceptance > Hold price; trade scope, not margin
Illustrative output structure from the Proposal OS pipeline. No real client data.
Win the work, then add what you need inside the same Deployment.
These are not separate products or separate pricing — they are configuration we scope into your Proposal OS Deployment if your Diagnostic surfaces the need.
Estimation & Margin
Turn a scope into accurate effort, cost, staffing and risk — and protect margin per deal.
Pricing & Packaging
Willingness-to-pay, tier design and discount control — your highest-leverage revenue lever.
Delivery Ops
Status synthesis plus early scope-creep, risk and margin-leak detection, fed by won-deal data flowing back into Proposal OS.
An accountable outcome — not another AI tool that gives you generic junk.
A human owns the result
AI does the volume; Ashish scopes and QAs every output and signs off before anything reaches you. The name on the work is a person, not a model.
Fixed price, you approve everything
No surprise invoices and no black box. You see and approve the scope, estimate and draft at each gate.
It gets cheaper and sharper each deal
Every engagement deposits reusable scopes, estimate models and risk rules — so the system compounds instead of starting from zero.
Founder-led, and honest about the stage.
Built and ran Krishi Network — a curated expert network — through to its acquisition by Ninjacart. Running a vetted specialist network and turning messy input into structured outcomes is proven muscle, now pointed at the win-work workflow. And yes — that includes having personally run B2B proposal-led sales.
Three phases — each one de-risks the next.
Start with a free discovery call. If you want to go further, a paid, NDA-gated Proposal Workflow Diagnostic on your own deals — $500 to start, the rest on completion. If you deploy, the Diagnostic fee comes off the price. No hours billed, no day rates — you buy an outcome at each step.
Proposal Workflow Diagnostic
A live read on 3 of your own real deals
- Free discovery call first — the NDA and deposit only happen after, if you want to proceed
- Where you lose, under-price or over-invest senior time — read across a sample of your past proposals, run in a sandboxed environment
- A prioritised plan for what a Proposal OS Deployment would change first
Credits in full against your Deployment.
Book a free discovery callProposal OS Deployment
Deploy your Proposal Workflow
- Your intake → scope → estimate → proposal flow, tuned to your templates, stack and pricing logic
- Deployed where it needs to live: our cloud, your cloud, or fully on-premise — air-gapped, on open-weight models like Llama 3.3, Qwen2.5 or DeepSeek-V3 where a closed-model API is a non-starter
- Optional modules — Estimation & Margin, Pricing & Packaging, Delivery Ops — scoped in if your Diagnostic surfaces the need
- Your team approves the scope, estimate and draft at each gate
Your Diagnostic fee comes off the price.
Book a free discovery callManaged Outcomes
We run it on live deals
- Priced on usage and config — users, clients, opportunities and proposals, with a quota set per dimension
- We maintain the eval set and your scope & estimate libraries
- A monthly win-rate and margin review with you
Month-to-month. Cancel anytime.
Book a free discovery callThe math is simple. One deal re-priced or re-scoped out of the Diagnostic typically covers its cost. And protecting the margin on a single won deal — the kind you usually discover you under-scoped halfway through — can pay back the whole Deployment phase.
We take on 2 new clients per month. The consultant calendar fills fast — next available is roughly 2 weeks out.
Claim a slotFind out if the Diagnostic is worth running on your deals.
A 30-minute, no-pitch call. If it's a fit, we sign an NDA and move to the Proposal Workflow Diagnostic — run on your real opportunities, in a sandboxed environment.
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