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Pixelmojo work · AI sales system · 2025 Case study / AI sales agent

Every lead, pointed to the right move.

Vector is a qualification system built for B2B teams. It reads every conversation across 12 dimensions, explains the signal, and routes the next move in real time.

Role
Strategy · Product · Build
Delivery
60-day fixed scope
Model
Client-owned application
12 signals / one routing decision Live qualification profile
Lead profilelive
94/ 120
Route to Senior AE ↗
12 dimensions agree: high purchase intent.
Cycling · click a dimension to hold
The systemLess noise. More signal.
Qualification model12DEvidence from twelve dimensions
Fixed-scope build60dConfigured to the client’s ICP
Coverage24/7No high-intent lead left waiting
AI sales agent2025 Build manifest
  • Next.js 15
  • TypeScript
  • Supabase
  • OpenAI
All projects
01 / The signal problem

A full pipeline can still be empty.

Sales teams were spending most of their attention on leads that would never convert, while real buyers waited in the same queue.

Traditional forms captured a name and email. Basic chatbots captured a transcript. Neither could tell the team who was ready, why they were ready, or what should happen next. Vector turns the conversation itself into an explainable qualification profile.

Name + email12-dimensional profile
Static lead scoreLive intent signal
Manual triageExplainable routing
Lost contextCross-session memory
02 / The product moment

You see the math, not a black box.

Every score affects the route. Every route keeps its rationale. Your team can review, override, and improve the system as real outcomes come in.

Vector / Lead intelligence
Qualified · high signal
SC

Sarah Chen

VP of Operations · TechScale Inc.

Total score
94/ 120
Routing
Route to Senior AE ↗
Observed outcomeMeeting booked · closed in 23 days

Qualification profile

Top 6 of 12 dimensions
Intent8/10
Budget7/10
Timeline9/10
Authority8/10
Need9/10
Fit7/10

Clear buying signals · active project · VP-level decision maker

Illustrative product view · actual scoring weights and routing rules are configured to each client’s ICP.
03 / The intelligence model

One lead. Twelve angles on the decision.

Vector scores what a buyer says, how the conversation changes, and what the business already knows, then combines the evidence into one next move.

01

Intent

Are they actively moving or only browsing?

02

Budget

Can the move be funded and approved?

03

Timeline

Why now, and what date creates pressure?

04

Authority

Who can commit, influence, or block?

05

Need

Is the pain explicit, material, and understood?

06

Fit

Does the buyer match the real ICP?

07

Engagement

Is attention deepening across the journey?

08

Emotion

What does tone reveal about readiness?

09

Context

What happened before this conversation?

10

Knowledge

What must the agent know to be useful?

11

Integration

Where should the signal be written?

12

Orchestration

Which person or system acts next?

04 / Measure, don’t promise

The result is a loop you can prove.

01 · Starting point

Baseline before automation

Week one measures lead volume, qualification rate, response time, conversion by source, and time spent per lead.

02 · Operating target

SDR time recovered

A 90-day target (not a guarantee) measured against the client’s actual baseline and reviewed with the team.

03 · Human authority

One-click override

Every route keeps its rationale. The team can correct a decision immediately and compare calls with outcomes weekly.

05 / How it was built

Baseline first. Then build the loop.

Next.jsTypeScriptPostgreSQLSupabaseOpenAIVercel

Vector is not a generic scoring layer dropped onto a funnel. The system is configured around the client’s ICP, evidence, CRM, and real routing decisions.

01

Baseline

Measure lead volume, qualification rate, response time, routing rules, and conversion by source. The system starts from real operating numbers.

02

Qualify

Score inbound conversations across all 12 dimensions. Each score carries evidence and contributes to an explainable decision.

03

Route

Send high-signal leads to the right owner with context. Keep low-signal leads out of the active pipeline without deleting the trail.

04

Measure

Compare Vector’s decisions with actual outcomes every week. Override mistakes, adjust weights, and improve the model from evidence.

06 / The ownership model

Built as an asset. Not rented as software.

Pixelmojo builds Vector on infrastructure the client controls. The application code stays with the business; the intelligence platform keeps improving behind it.

  • 01Full application source access
  • 02Standard, maintainable stack
  • 03Visible data and routing logic
  • 04No multi-tenant data mixing
Release 03 / 07 · AI sales agent · 2025 Next release · Mojo AI
Vector by Pixelmojo

Stop counting leads. Start reading them.

See the full Vector offer, fit criteria, pricing model, and delivery approach, or talk with Pixelmojo about your own qualification system.