GTM Operations
Revenue Workflow Assessment
Where pipeline, quoting, and account coverage lose time to manual work, and which steps an agent can own without breaking the forecast.
You get: opportunity map, ROI ranking, build-vs-buy call
An AI studio · San Francisco / United Kingdom / India
Technology, tools
and talent.
Three decisions set whether a digital transformation ever reaches production. We partner with mid-market organizations on all three areas:
- 01Assessing where it pays off the most
- 02Buying or building what survives production
- 03Finding the key talent who can run it
Fixed scope, and a written answer at the endOperators who have run these functions at scale
napkin sketch №2
Why we exist
There is no shelf to buy this off.
The deepest problems in digital transformation are still unsolved. Solutions are built, tested and personalised as they go, so what works inside one company is not something the next can take off a shelf. Categories are still forming, capability moves quarter to quarter, and the judgement calls land on you before the evidence does.
We make those calls alongside you. Where the value sits. Build or buy. Who runs it. The assessment names the priority, the tool is chosen or built against it, and the key AI talent is identified.
Recognise the phase you are in? aparoop@coworker1.com
Pillar one · Technology
Assessments
We specialize in the following:
Go-To-Market OperationsCustomer Experience OperationsVendor Management Operations
CX Operations
Service Deflection Assessment
Contact drivers, containment ceiling, and the honest number on what AI can resolve before a human is still the right answer.
You get: deflection model, cost-per-contact baseline, staged plan
Vendor Management Operations
Vendor Lifecycle Assessment
Intake, onboarding, tiering and contract cycle time mapped against where document AI and agents cut the queue.
You get: cycle-time baseline, control points, savings case
Cross-functional
Data & AI Readiness Assessment
What your data can actually support today. The unglamorous check that decides whether anything above it is real or a demo.
You get: readiness score, gap list, sequencing
Not sure which assessment fits? Say what is slow. aparoop@coworker1.com
Pillar two · Tools
Agents deep enough to survive production.
We help you make the build versus buy decision, and we partner with deep vertical AI startups in the Bay Area so that buying is a real option rather than a compromise. Where building is the right answer, boutique dev shops and a bench of 100x engineers bring the capacity.
Product partners the tool
Deep vertical AI startups, largely Bay Area, whose agent already solves your problem.
- ✓Deep agents, built for one domain
- ✓Shortlisted against your assessment
- ✓Bake-off on your data before you commit
- ✓We stay through the integration
Build partners the capacity
Delivery muscle that flexes with the scope.
- ✓Boutique AI dev shops
- ✓A bench of 100x engineers on contract
- ✓Pulled in on the larger builds
- ✓Scaled up and down as scope moves
Built in house proof
We broker tools because we know what building one costs.
- ✓SortBy — a 24x7 AI data analyst
- ✓Tickerly1 — a 24x7 financial analyst for traders
- ✓In pilot with a live trading cohort
You pay us, never the partners. That keeps the recommendation clean: if a partner is the wrong fit we say so, and if you do not need a tool at all we say that too.
Tell us the domain and we will name the partner. aparoop@coworker1.com
Pillar three · Talent
Struggling to hire AI talent?
We source globally and screen on build capability, tested against real work rather than a CV read. And because we run the assessment and the tooling, we know which roles your operating model needs before anyone writes a job description.
Live engagement
AI hires in flight for a top tech firm
Sourcing, screening, and pipeline management — running now.
Give us a call. aparoop@coworker1.com
Engagement
Start with the assessment.
Fixed scope and a written answer at the end. We price it once the scope is clear, and we will tell you honestly if the answer is that you need less than you asked for.
Assess
One packaged assessment, fixed scope.
- ✓Workshop with your operators
- ✓Opportunity and ROI ranking
- ✓Build-vs-buy call on each
- ✓Sequenced plan
Build
Ship the system the assessment found.
- ✓Prototype to production
- ✓Partner tool integration
- ✓Eval harness
- ✓Your team owns the code
Staff
Hire the team that runs it after we leave.
- ✓Role design from the build
- ✓Global sourcing and screening
- ✓Onboarding into the system
- ✓Ongoing pipeline
Tell us the operation and we will scope it. aparoop@coworker1.com
Selected work
What it looked like when it shipped.
Four engagements and one product of our own. Each one is a system still running, not a pilot that ended.
24×7
live market coverage, every thesis settled
A trading analyst that holds an opinion and grades itself later
Realtime technical analysis in conversation, and every thesis it forms is tracked across days until the market settles it. The engine keeps its own record: what it thought, when it thought it, and whether it was right. Judgment is cheap when nobody scores it, so we made it score itself.
In production · running for a pro-trading cohort
95%
less manual data-wrangling
A self-healing data platform for thousands of messy Excel files
Global API & pharma chemicals manufacturer
<1 hr
of analyst time per 500-page submission
A document-review agent that killed a days-long manual cycle
Biomedical device company
~60%
faster first response
A 24/7 support agent that never hands off cold
Financial services firm
38%
of admin hours mappable to AI
An assessment that turned “adopt AI” into a costed, sequenced roadmap
Multi-campus vocational institute, ~8,000 students
Want the one that looks like your operation? aparoop@coworker1.com
Our mission
Make AI work inside the operation you already run.
Not a vendor. A coworker who assists your journey through digital transformation, helps you identify the right tool, and staffs the right talent. That is the whole job, and it is the whole name.
Assists your transformation→Technology
Identifies the right tool→Tools
Staffs the right talent→Talent
Who's behind this
Aparoop Chakraborty
Founder
Twenty years in diverse business operations, twelve of them at Google. Builder.
ex-GoogleIIT KharagpurISBKellogg Exec Ed
Aparoop has spent twenty years inside the operations that AI projects set out to change. Go-to-market, customer experience, vendor management and workforce operations, run at scale in large organisations, where the constraint is rarely the technology and almost always the workflow, the data and the people already doing the job.
He reads an operation the way an operator does: where the time goes, which step is load-bearing, what breaks when the volume doubles. He reads go-to-market the same way, having carried a number himself, so the test is never whether a system is clever but whether it moves the one that matters. And he builds, close enough to agentic systems to know what they cost, where they fail, and when the honest answer is to buy something that already works.
CoWorker1 exists so a mid-market operation can run AI as well as the companies large enough to build it themselves.
Rather just talk to him? You already are. aparoop@coworker1.com
The team
A small, dedicated core, and a global network of 100x engineers who run their own shops.
The people who scope the work are the people who build it, and they are still there when it goes live.
Industries
AI & HiTechIT ServicesFinTechFinancial ServicesPrivate EquityLiquid Fund HousesFamily OfficesRetailEdTechMediaFMCGManufacturing
Which of the three is stalling you?
Tell us the operation and the metric. We will tell you whether it needs an assessment, a tool, a hire, or none of the above.
Book a callOr write directly. aparoop@coworker1.com