Revenue Systems · AI Services & Product Engineering

Build a Repeatable US Enterprise Pipeline Without Building a Full GTM Team

HumanTouchDigital helps AI services and product-engineering firms turn founder-led selling into a disciplined revenue system. We sharpen the offer, build AI-enabled account and pipeline workflows, and operate the weekly cadence required to create and advance enterprise opportunities.

Built for founder-led firms with $2M–$30M in revenue entering or expanding in the US market.

Revenue SystemHTD/01
Stage 01
Positioning
Stage 02
Target Accounts
Stage 03
Account Pursuit
Stage 04
Pipeline Truth
Stage 05
Deal Advancement
Stage 06
Revenue Growth
Diagnose
Constraints mapping
Build
Workflow implementation
Operate
Weekly cadence
Advance
Deal progression
The Problem

Growth Becomes Fragile When Revenue Still Depends on the Founder

Delivery capability is real. The commercial system underneath it is not. That's where growth stalls.

Strong tech, unclear offer

The company has strong technical capabilities but an unclear commercial offer buyers can act on.

Inconsistent US pipeline

US pipeline is inconsistent or relationship-dependent — no motion you can defend to a board.

CRM doesn't reflect reality

CRM data does not reflect the real state of deals, and forecasts cannot be trusted.

Enterprise deals stall

Enterprise opportunities stall without disciplined follow-up, executive engagement, or account pursuit.

Tools without a system

The firm is adding tools or people without a coherent revenue system underneath them.

Engagements

One Progression. Three Engagements.

Every client starts with the Diagnostic. Most continue into the 90-Day Build, and a subset move into a Managed Pipeline Pod.

Step 01 · Entry

Revenue System Diagnostic

2 weeksStarting at $7,500

A two-week assessment that identifies the positioning, pipeline, process, and workflow constraints preventing repeatable growth.

Step 02 · BuildFlagship

90-Day Revenue System Build

90 daysStarting at $30,000

A focused implementation program that sharpens the offer, builds priority revenue workflows, and establishes a disciplined weekly operating cadence.

Step 03 · Operate

Managed Pipeline Pod

3-month minimumRetainers from $12,000/mo

An embedded revenue operations and account-pursuit team for firms that need execution before they are ready to hire a complete internal GTM organization.

What We Build

Priority Revenue Workflows

We build the workflows that create pipeline, advance opportunities, and produce a forecast you can defend.

WF.01

Pipeline Truth and Deal Inspection

A weekly cadence that reveals the real state of every enterprise opportunity — not the CRM version.

WF.02

Enterprise Account Pursuit

A disciplined motion for identifying, mapping, engaging, and progressing named enterprise accounts.

WF.03

Founder-Led Sales Transition

Codify what the founder does instinctively so the next hire can execute it — without losing the magic.

WF.04

Meeting Preparation and Follow-Up

AI-assisted pre-call briefs and structured follow-ups that keep momentum between conversations.

WF.05

Signal-Based Outbound

Small lists, sharp research, real triggers — outbound your buyers will actually respond to.

WF.06

Proposal-to-Close Management

Multi-thread the buying committee, remove late-stage surprises, and shorten the path to signature.

Why HumanTouchDigital

A Revenue Operating Partner, Not a Consultancy or SDR Agency

Senior enterprise sales operators

Real experience running complex, multi-stakeholder enterprise sales — not framework theater.

Product-engineering and AI services fluency

We know how services firms are actually bought, sold, and delivered.

US market-entry knowledge

Practical understanding of what does and does not work when entering or expanding in the US.

AI-native workflow design

AI wired where it compounds leverage — and refused where it only adds noise.

Human judgment, executive oversight

Every workflow is governed by an operator, not a prompt.

Strategy plus implementation

We diagnose, design, and operate — not just hand over a deck.

[EDIT] Add Lalit's photograph
Founder

Lalit K.

Enterprise sales operator · Product-engineering & AI services GTM · Founder, HumanTouchDigital

[EDIT] Two decades of enterprise sales, GTM leadership, and US market development across product engineering, AI, data, cloud, semiconductor, and technology services. Built and led enterprise sales motions inside global services firms, and now advises founder-led AI and product-engineering companies moving from referral-led growth to a repeatable US enterprise pipeline.

Proof

Anonymized Engagements — What The Work Looks Like

Client names, logos, and specific performance metrics are published only with written client approval. The engagements below are anonymized composites drawn from real work.

Anonymized engagement · Product-engineering services firm

From founder-led referrals to a repeatable US enterprise motion

Context
  • · ~250-person India-headquartered product-engineering firm with strong delivery credentials in data platforms and cloud modernization.
  • · Growth was entirely founder-led and referral-driven. No named-account plan, no defensible US pipeline, inconsistent CRM hygiene, and a first-time US sales hire struggling to open enterprise conversations.
What changed
  • · Founder moved from being the only rainmaker to inspecting a pipeline the team owned.
  • · First qualified enterprise opportunities from the target list within the first quarter of the build.
  • · CRM became a decision surface leadership actually used — not a reporting formality.
Path: 90-Day Revenue System Build → Managed Pipeline Pod
Read the full case study →
Anonymized engagement · AI services company

Repositioning from 'we do AI' to a packaged, enterprise-buyable offer

Context
  • · Founder-led AI services company with deep applied-AI talent and early production wins with mid-market buyers.
  • · Every deal was custom-scoped from zero. Sales cycles stretched, pricing was inconsistent, and enterprise buyers could not tell the firm apart from a dozen adjacent AI consultancies.
What changed
  • · Proposal turnaround compressed from weeks to days on standardized engagements.
  • · Enterprise prospects began self-qualifying into the packaged offers instead of asking for open-ended scoping calls.
  • · Founder time on custom-proposal writing dropped materially, freeing capacity for named-account development.
Path: Revenue System Diagnostic → 90-Day Revenue System Build
Read the full case study →
Get Started

Build the Revenue System Your Next Stage Requires

Start with a focused diagnostic of your market position, pipeline, sales process, and AI workflow opportunities.