01/02
Call quality scoring
Every recorded call scored against your scorecard within the hour, with the evidence quote and a coaching note per agent. Scores are calibrated against your senior QA analysts and the agreement rate is reported monthly.
Built once for a contact center platform. Built again for you.
The system that listens to every call, scores each checkpoint with evidence, and drafts the coaching note, configured to your playbook and your recordings. The engineer who built the original builds yours.
Free 30-minute call. Written roadmap in 48 hours. If the numbers say do not build, we will say so.
Built for: Head of quality, VP of operations, or contact center director who has read the CX Studio case study and wants the system, not a pilot
The problem
The CX Studio system was built for a contact center platform whose quality teams reviewed under 5 percent of calls, each one taking 15 to 30 minutes of analyst time, with coaching that depended on which analyst you got. Six weeks later, AI agents were listening to every call, scoring each playbook checkpoint with a confidence score and the transcript excerpt as evidence, and drafting the coaching note. Analysts confirmed or overrode with one click, about 80 percent faster than listening cold. Managers got a daily briefing and risk-based sampling instead of spreadsheets. If your quality program has the same shape, sampled calls, slow validation, coaching from memory, you do not need a pilot to find out whether this works. You need the system, configured to your scorecard, on your recordings.
How it works
Each workflow below is shipped and measured in production. Start with the one that matches your leak, and add the next when the first is paying for itself.
01/02
Every recorded call scored against your scorecard within the hour, with the evidence quote and a coaching note per agent. Scores are calibrated against your senior QA analysts and the agreement rate is reported monthly.
02/02
Buying intent detected in reviews, calls, and CRM activity, pushed to sales as a ranked queue.
Proof
The cost of doing nothing
A few sliders, no email required. The estimate uses your inputs and the stated assumptions, nothing hidden, so you can check the math before you talk to anyone. Bring the numbers to the call and the roadmap does this math for your group, in writing.
Call quality scoring
VP of operations or head of quality at a contact center or BPO
Calls nobody listens to every year
Compliance misses, churn signals, and coaching moments are in the calls no one hears. Full coverage by hand is a payroll line that does not exist; the scoring workflow reviews every call and hands analysts the exceptions.
What you get
Transcription, scorecard evaluation with evidence quotes, coaching notes, and calibration against your senior QA analysts, deployed on your existing recording platform. In production this took a contact center platform from analysts reviewing under 5 percent of calls to AI scoring 100 percent with human validation.
What it killsThe 95 percent of calls nobody hears.
We score two hundred of your real recordings against your scorecard, under NDA, and your senior analysts grade the agreement. You get a written go or no-go, and "do not build" is a real answer we give.
What it killsPilot purgatory and vendor slideware.
Architecture, integration path, timeline, price, and your own numbers: denial rate, overturn rate, unappealed volume, and expiring deadlines.
What it kills"Is this worth it?" and "will IT allow it?"
Written findings on record access, denial exports, and gaps, plus the list of what we need, from whom, for about one hour a week.
What it kills"Our data is a mess" and hidden effort on your side.
The system scores; your QA team validates the exceptions and owns calibration. Disagreements feed back into accuracy. Nobody is written up on a score a person did not confirm.
What it killsClinical and compliance fear, and staff resistance.
Coverage, accuracy against reviewer edits, cost per appeal, cycle time, and dollars in flight, on one page you can put in front of the board or the owners.
What it kills"We cannot measure the impact."
What shipped, what it earned, what is next, plus the architecture, audit trail, evaluation results, and ownership documents a buyer or lender will ask for.
What it kills"What is our AI strategy?" and quality-of-earnings scrutiny.
Code, documentation, runbooks, and training, from day one. If SASID disappears, the system does not.
What it killsBus factor and lock-in.
Before we build, we agree in writing on two numbers: the share of denials the engine drafts a letter for (coverage) and the share of drafted letters your reviewer accepts with under five minutes of edits (accuracy). If either number is below target at launch or at any point in the first 90 days, for any reason on our side, we fix it at no charge and the monthly fee pauses until it is met. If it is not met within 30 days of your written notice, you may end the term, owe nothing further, and keep all code, documentation, and runbooks. The implementation fee is earned at launch and is not refunded.
Your side: read access to the systems in the readiness checklist within 10 business days, one named champion for about an hour a week, and reviewer feedback on drafted letters within 5 business days. Full wording is in the agreement.
Onboardings are scheduled monthly and limited to two or three at a time so every launch gets the engineer's full attention. A signed agreement holds a date.
Run it on 50 of your denialsWhy I built this
I have been building software for thirteen years and shipping production AI for the last five. The pattern I kept seeing was the same in every industry: a pilot that impressed everyone in the demo and then quietly stopped moving. Nobody owned it. Nobody measured it. It never touched a real workflow.
The turning point was being hired as the only AI engineer at a company that needed a platform every product team would depend on. There was no team to hand it to and no room for a pilot. It had to run. It ended up handling more than 30,000 reviews a day across 200 locations, and lead scoring on those signals added seven figures of recurring revenue.
Then came healthcare. Nurses were spending 30 to 60 minutes writing each insurance appeal, and the backlog meant many denials were never appealed at all. The system we built drafts a cited, payer-formatted appeal in under two minutes, inside a HIPAA environment, with a nurse signing every letter.
I started SASID so a provider group does not have to build a twelve-person AI team to get this. I build it, I measure it, and I stay.

Shahrukh Siddiqui
Founder and the engineer on every engagement
If something happens to me
You own the source, the architecture docs, and the runbooks from week one. Your team is trained before launch. The platform runs in your cloud, on your accounts, and the runbooks are written so that any senior engineer can operate the monthly review from the documentation alone. No part of your workflow depends on a person you cannot replace.
Where the work was done
Where the engineer has shipped before










Employers and consulting clients over a 13-year career. These are not SASID clients and no endorsement is implied. All trademarks belong to their respective owners.
Pricing
One clinical appeals nurse costs about $94,500 a year. One unappealed inpatient denial can exceed $14,000. This is priced against those numbers, not against hours.
Multi-facility, inside your compliance boundary.
from $400,000 over 12 months
Includes up to 150,000 denials a month across all facilities
Written quote in the 48-hour roadmap. No assessment fee.
Appeals plus two more workflows across the revenue cycle.
$204,000 over 12 months
Includes up to 50,000 denials a month (calls or reviews on the adjacent workflows)
Every appealable denial, appealed.
$95,000 over 12 months
Includes up to 10,000 denials a month
The smallest tier. A group under 3,000 denials a month gets the same engine at the same price, well inside the limit.
Every plan carries the 90-day guarantee with term exit: two agreed numbers, fee pause if missed, and the right to end the term after 30 days' notice.
Usage above the plan limit is passed through at model cost with the invoice attached. Your monthly review shows cost per appeal, so there are no surprises.
12 months standard, starting at launch. A 36-month partner term with a locked price is offered after the 90-day guarantee period, once you have a number. Contracts are assignable to an acquirer at no charge.
All prices in USD.
FAQ
The architecture is reused: transcription with speaker separation, checkpoint evaluation with evidence and confidence, the coaching agent, the validation interface, and the briefing layer. Your scorecard, checkpoints, escalation rules, telephony integration, and calibration against your senior analysts are built for you.
Get started
Thirty minutes on a call, then a written roadmap within 48 hours: the workflow, the systems it connects to, the price, and what doing nothing costs at your volume. Then fifty of your real denials, under NDA and BAA, drafted and scored by your reviewer before any fee.
Thirty minutes. You bring the leak and the volume; within 48 hours you receive a written roadmap covering the workflow, the integrations, the price, and the cost of doing nothing at your numbers.
You bring the leak and the volume. We map it to one workflow and the system it lives in.
The workflow, integrations, timeline, price, and the cost of doing nothing at your numbers. If the numbers do not support building, the roadmap says so.
Fifty real denials (or two hundred calls, or a week of reviews for adjacent workflows). You see the letters and the accuracy before any fee is committed.
Weekly releases into your environment, then the 90-day guarantee clock starts.
Prefer to write it down?
Starts are scheduled monthly. A signed roadmap holds a date.