AI only where it works

Reduce Lead Response Time & Improve Lead Scoring

Augment your sales team with a workflow that qualifies, enriches, and routes leads around the way your team already sells and follows up.

Every engagement starts with a focused one-time analysis that turns your submitted problem into an implementation-ready plan, including workflow design, control points, boundary decisions, and rollout path.

The problem

Why inbound leads go cold before reps reach them

The problem is not a lack of effort. It is a broken handoff after a buyer raises a hand: the lead lands in an inbox, loses its context, and waits for someone to decide whether it is worth a call.

1

A form fills in seconds, but the first human touch lands hours later. The lead has already opened a tab on your competitor, and by the time a rep dials, the moment of intent is gone.

2

High-intent buyers arrive in the same queue as tire-kickers. Without scoring against real pipeline signals, the leads worth calling first look identical to the ones worth ignoring.

3

Reps spend their sharpest hours copying data between the CRM and enrichment tabs to decide whether a lead is even worth a call. That is qualification work being done at closing-rep cost.

Speed to first contact is measurable, and most teams lose on it

Interest is perishable. Buyers expect an answer while they are still comparing options, but most teams respond hours later. The numbers below show the operational gap and why routing is the lever that closes it.

82%

say immediate matters

Buyers who rate an immediate response as important or very important for a marketing or sales inquiry.

HubSpot, 2025

27%

move to a competitor

When a response is too slow, 27% of US consumers say they move to a competitor rather than wait.

Invoca, 2026

11h 54m

average email response

Average time for a personalized email response in Workato's audit of 114 B2B companies.

Workato, 2026

Architecture

A real lead qualification workflow, not a chat widget

The workflow combines model orchestration, CRM context, enrichment, and human review so reps act on grounded recommendations.

Bad Shared inbox and manual triage
Diagram showing a lead form feeding a shared inbox where a rep manually checks and sorts leads, with slow leads dropping out
Every lead lands in the same queue. A rep sorts by hand, in whatever order they get to it, with no score, no context, and no clock.
Good Scored and routed in minutes
Diagram showing lead intake, enrichment, a scoring agent using CRM context, routing rules, rep handoff, and human review on edge cases
Leads are enriched, scored against real pipeline history, and routed to the right rep with context attached. Edge cases go to a human, not to the bottom of a queue.

Our promise

Every lead scored, routed, and in a rep's hands within minutes

We design the system around the way your team already works, then add AI only where it improves speed and consistency.

CRM-aware qualification based on real pipeline context
Automatic enrichment and routing before a rep touches the lead
Human review on critical scoring and handoff decisions
Clear audit trail for every recommendation

The process

From problem to implementation-ready plan in seven days

This $2,000 one-time engagement focuses on one important workflow problem, then gives your team a clear path to the next step: addressing the root cause and implementing the right changes.

01

Discovery

We document the current process, constraints, stakeholders, and the points where the workflow currently breaks.

02

Analysis

We audit the systems, data access, review points, and integration requirements the workflow will need in production.

03

Plan

You get a reviewable implementation blueprint covering workflow logic, models, systems, and human oversight.

After the analysis, we can implement the workflow end to end and maintain it, or stay on as your ongoing AI workflow consulting partner. Implementations start from $4,000.

Continuous support

We can support you as long as needed

Whether you need recurring advice on AI workflows, models and vendors, or want us to implement and then maintain your AI workflows, we have a suitable package for each case:

Consulting retainer

from $2,000 /month

No implementation required

For teams building it themselves who want an experienced second opinion on the architecture, the vendors, and the trade-offs before they commit to them.

  • Monthly strategy and architecture reviews
  • Model, vendor, and tooling decisions
  • Team training and AI education sessions

Implementation maintenance

from $1,000 /month

+ token usage at cost

For workflows we built for you. A live AI workflow needs ongoing maintenance: models change, integrations drift, and edge cases arrive. We keep it working.

  • Monitoring, alerting, and incident response
  • Keeping pace with changes to models, vendors, and pricing
  • Integration maintenance and updates as your AI systems evolve

Tell us about your workflow problem

Request an analysis

$2,000 one-time

Bring us one problem. It might be a manual process you want to automate, or an AI workflow already in production that feels unreliable, unsafe, or held together with tape. We spend seven days on it and hand back an implementation-ready plan: what the workflow should do, where the controls belong, and what it costs to build and run.

If the plan convinces you, we can build it.

What you get

  • A structured intake of the problem, the systems involved, and the constraints
  • An audit of the data, integrations, and review steps the workflow depends on
  • A workflow architecture with the control points, boundaries, and human oversight
  • A projected cost to build it and to run it
  • Delivered in 7 business days

Initial Consultation · one-time · 7 days · $2000

Solve your Problem Now

Describe the workflow and where it breaks today. We read every submission ourselves, and if it is a problem we can solve, we send back a short questionnaire and a payment link to start the seven days.