TheRecAI Projections

01 / PROBLEM

Hirings bottleneckis no longer access.It is attention.

Every stakeholder is flooded before relevance is known. TheRecAI protects human judgement by moving context, readiness, and coordination upstream.

Core pain: attention is spent before signal is confirmed.

Inbound activity

High volume

ApplicationsMessagesFollow-upsScreeningsProfiles

ATTENTION SPENT

before

RELEVANCE KNOWN

Only then: relevance discovered

Candidate

More applications. Less feedback. Lower trust.

Hiring Manager

More inbound. Less clarity on fit or readiness.

Recruiter

More chasing. Less time for judgement.

Employer

More activity. Slower trusted shortlists.

02 / PROMISE

Every hiring stakeholdergets a digital manager.

TheRecAI assigns agents to handle context, screening, follow-up, readiness, and coordination before human attention is required.

Before human handoff

Context captured before meetings

Readiness tracked before outreach

Follow-up handled before momentum is lost

Human attention reserved for judgement

Outcome: humans enter the process with context already prepared.

Candidate Manager

Captures goals, readiness, constraints, and follow-up.

Recruiter Manager

Prioritizes signal, handles chasing, and keeps context current.

TheRecAI

Digital managers in sync

Share context. Move hiring forward.

Hiring Manager Copilot

Clarifies fit, role needs, feedback, and decision criteria.

Employer Context Layer

Preserves company-side memory across roles, teams, and shortlists.

03 / PRODUCT

Representatives coordinate before humans spend time.

The product is a hiring coordination layer, not another database or job board.

01

Role intent

Employer and manager context is captured.

02

Candidate context

Candidate constraints and proof are structured.

03

Agent coordination

Representatives negotiate relevance before escalation.

04

Human handoff

Recruiters and managers receive fewer, better moments.

04 / BEACHHEAD

Start with repeatable, painful volume hiring.

The wedge is BFSI sales and relationship hiring below senior bands, where speed, fit, and follow-through matter daily.

Volume hiring
BFSI sales
Relationship roles
Under senior bands

Why this wedge

The category has repeatable demand, high coordination load, and a clear need for faster trusted shortlists.

05 / MARKET

A narrow proof wedge opens the broader workflow market.

The market is the recruiting workflow that can shift from manual coordination to agent-managed systems.

TAM

₹24,800 Cr/year

100%

SAM

₹9,920 Cr/year

≈40% of TAM

Beachhead

₹2,300–3,100 Cr/year

≈23–31% of SAM

TAM

₹24,800 Cr/year

High-volume hiring workflows in India.

SAM

₹9,920 Cr/year

Under-₹15 LPA sales and relationship hiring across high-volume sectors.

Beachhead

₹2,300–3,100 Cr/year

BFSI sales and relationship roles under ₹15 LPA.

Estimates are annual platform revenue opportunity based on current model assumptions; beachhead focuses on BFSI sales and relationship roles under ₹15 LPA.

06 / BUSINESS MODEL

Revenue follows both sides of the marketplace.

The model combines candidate value, employer role access, and outcome revenue without turning the deck into a spreadsheet.

Candidate subscription

Recurring career-manager value for active candidates.

Role-month retainer

Employer-side platform access while roles are open.

Success fee

Outcome revenue when successful hires close.

07 / ECONOMICS

The financial model is live; the deck stays narrative.

Detailed outputs belong in Projections, where assumptions, cash timing, and funding logic remain editable.

1Editable assumptions
2Cash and accrual views
3Funding ask from modeled deficit
4Projection table by month

The deck stays narrative. The model stays live.

Use the projections workspace for output totals, funding range, cash timing, and assumption sensitivity.

Open projections

08 / GTM

The go-to-market loop compounds with every workflow.

Employer demand, candidate flow, data quality, and recruiter leverage reinforce one another.

01

Employers bring roles

02

Roles create candidate flow

03

Candidates convert

04

Data improves matching

05

Agents accelerate screening

06

Successful hires bring more roles

09 / Competition

TheRecAI sits between reach, judgement, and workflow control.

The wedge is not another list of candidates. It is a coordination layer that reduces noise before attention is spent.

Agencies

Human judgement

Manual execution limits scale.

Job boards

Broad reach

High noise and weak workflow control.

TheRecAI

Agent coordination

Relevance is negotiated before human attention is spent.

10 / TEAM

The proof stage needs three leadership lanes.

Tech operations, AI reliability, and employer acquisition are the execution pillars for this stage.

BP

Bhanu

Tech Ops

Lane 1

IIT Bombay alumnus with 3+ years running a recruitment agency, now turning deep hiring-workflow experience into an AI-led recruitment platform.

AI

AI Leadership

Cofounder placeholder

Lane 2

Placeholder for the AI reliability leader who will own agent quality, factuality, evaluation, and workflow trust.

SL

Sales Leadership

Cofounder placeholder

Lane 3

Placeholder for the employer acquisition leader who will own BFSI wedge sales, client expansion, and recruiter network leverage.

11 / FUNDING

The round is sized from modeled cash need.

The ask is driven by the maximum modeled deficit plus an editable buffer, not static deck copy.

Sizing principle

The round is based on maximum modeled cash need plus an editable buffer, not fixed deck copy.

Agent reliability
Recruiter capacity
Employer acquisition
Review funding model

12 / PROOF

Month 18 is the proof of operating control.

The ladder is scale, trust, recruiter leverage, and repeatable employer outcomes.

1

Operating units

2

Paying candidates

3

Active companies

4

Role-months

5

Recruiter leverage

6

Successful hires

Detailed proof target calculations stay in the Projections view.