The business friction
Demand exists, but the system loses momentum between the form fill and the forecast.
- High-intent leads wait for an owner
- Qualification rules live in people’s heads
- Sales and marketing argue over pipeline truth
Revenue systems · Salesforce architecture
Make every qualified lead move with intent
Design the operating system behind growth: capture, qualification, routing, follow-up, pipeline management, and reporting across Salesforce and the rest of your go-to-market stack.
- 50+ Salesforce projects
- 100+ integrations
- 5.0 client rating
- 6+ years Salesforce
The operating outcome
Every lead has a next best action, a named owner, and a visible path from first signal to revenue.
Measures we establish before build
- Speed to first meaningful response
- Lead acceptance and stage conversion
- Pipeline coverage, velocity, and leakage
The system trace
One revenue path, with no invisible handoffs
The exact rules change by business. The architecture does not: capture the signal, make the decision explicit, trigger the action, and preserve the evidence.
- Stage 1
Capture
A prospect raises a hand
Web, partner, event, product, referral, and outbound responses enter through governed paths with source context intact.
Evidence retained
Original source, consent, campaign, timestamp
- Stage 2
Qualify
The record is complete enough to judge
Fit, intent, territory, product, and risk signals produce a transparent priority—not a mystery score nobody trusts.
Evidence retained
Qualification reason and missing-data flags
- Stage 3
Route
A lead meets an agreed threshold
Ownership, queue, SLA, and fallback rules are applied across segments, territories, capacities, and named accounts.
Evidence retained
Assignment reason, accepted time, exception path
- Stage 4
Advance
A seller or automation takes the next step
Tasks, sequences, alerts, and stage requirements keep momentum visible while humans stay in control of judgment calls.
Evidence retained
Activity, stage history, next step, aging
- Stage 5
Learn
Pipeline changes or a deal closes
Conversion, velocity, loss reasons, and source performance flow back to the teams that can change the system.
Evidence retained
Funnel movement and revenue feedback
System capabilities
What we design and put into production
Lifecycle and data model
Define what a lead, account, opportunity, stage, owner, and accepted handoff mean in your business—then make the CRM enforce it.
Qualification and prioritization
Turn fit and intent rules into transparent decisions, with a clear path for incomplete records and human review.
Routing and capacity logic
Territory, round-robin, named-account, product, language, and availability rules with escalation when assignment fails.
Follow-up orchestration
Tasks, sequences, reminders, and alerts that respond to the buyer’s behavior without creating notification noise.
Pipeline operating rhythm
Stage gates, next-step discipline, inspection views, and manager signals that make the forecast usable in the weekly meeting.
Closed-loop reporting
A measurement layer for source, conversion, velocity, leakage, and revenue—built from definitions leaders agree to first.
Documented GAT proof
$10K → $360K+/mo
Revenue operations rebuilt around Salesforce
GAT designed and ran the Salesforce-centered routing, pipeline automation, and reporting system used during a services business’s growth from $10K to more than $360K in monthly revenue. This describes the operating system used during the growth period, not a claim that technology alone caused the result or a projection for every build.
See GAT outcomes and client feedback →Governance & reliability
Built to survive the edge cases
The workflow is only production-ready when access, ambiguity, failure, and change have an explicit operating path.
G1
Explainable decisions
A rep can see why a lead was scored, routed, or held instead of reverse-engineering hidden automation.
G2
No-lead-left-behind exceptions
Failed enrichment, missing ownership, and integration errors land in named queues with timers and escalation.
G3
Permission-aware automation
Profiles, roles, sharing, consent, and field access are part of the design—not cleanup after launch.
G4
Instrumented handoffs
Acceptance times, aging, retries, and automation failures are observable so RevOps can intervene before revenue leaks.
Delivery path
From operating truth to a system people can run
Each phase ends with a concrete artifact and a decision. The sequence protects the build from assumptions that usually surface too late.
01
Trace the funnel
We follow real leads from source to close, interview the people carrying the handoffs, and baseline where time and truth are lost.
Decision artifact
Current-state trace and friction register
02
Design the operating rules
We settle lifecycle definitions, ownership, service levels, decision logic, and the minimum data required at each transition.
Decision artifact
Target workflow and decision table
03
Build and prove
We configure Salesforce, connect the stack, test happy paths and exceptions, and pilot with the people who will run it.
Decision artifact
Production system with acceptance evidence
04
Run and improve
We enable the team, monitor early behavior, correct adoption gaps, and create a backlog tied to business measures.
Decision artifact
Runbook, dashboard, and improvement roadmap
Questions
Frequently asked questions
- Is this a Salesforce implementation or a RevOps engagement?
- Both, when both are needed. We begin with the revenue workflow and operating decisions, then implement the smallest architecture that can run them reliably. That may include Salesforce configuration, integrations, automation, enablement, and a reporting layer.
- Can you connect HubSpot and Salesforce without creating duplicate ownership?
- Yes. We define which system owns each object and field, how lifecycle changes sync, what happens on conflict, and how failures are surfaced. The goal is not two-way sync everywhere; it is one defensible source of truth for each decision.
- Do you build lead-routing systems?
- Yes. We design and implement round-robin, territory, named-account, product, language, capacity, and SLA-based routing, including fallback queues, reassignment, auditability, and monitoring.
- Where can AI improve a revenue workflow?
- Good candidates include summarizing context, classifying unstructured requests, researching accounts, drafting follow-up, and recommending next actions. Deterministic rules still own permissions, routing constraints, record updates, and any step where the same input must always produce the same outcome.
- How do you prove the new system is working?
- Before build, we agree on operational measures such as speed to response, acceptance, stage conversion, aging, leakage, or forecast completeness. The implementation includes the event history and dashboards needed to track those measures after launch.
Connected systems
The workflow rarely stops at one team
Case intake & management
One governed path from first request to qualified case, assigned work, generated documents, and a visible next step.
Explore system →
Marketing attribution
Marketing and sales share a traceable view of which programs create demand, influence pipeline, and earn the next dollar of investment.
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Initial systems consultation
Turn your funnel into a system your team can run.
- You leave with
- A focused consultation with a senior systems consultant
- A current-state fit and architecture read
- A recommended path — implementation, ongoing ownership, or product