The Agentic Stack Orchestrator
Stop hiring.Start orchestrating.
Maple deploys production agentic AI across Salesforce, AWS, Databricks, and Snowflake, powered by Claude. We help B2B SaaS, FinTech, and HealthTech companies scale revenue without scaling headcount.
Best fit for companies with 250–2,000 employees on Salesforce.
Vonage · Service Cloud · Slack
Claude · Agentforce · Maven AGI
Data Cloud · Snowflake · Databricks
AWS · Salesforce
Partner Ecosystem
The Problem
You don't have a tooling problem. You have a stack problem.
Your revenue team manages eight tools instead of working in one. The data is siloed, the actions are manual, and every new point solution makes the system harder to reason about.
Today · The Frankenstein stack
- Gong
- Revenue intelligence
- Drift
- Chat + routing
- Intercom
- Customer support
- Snowflake
- Data warehouse, siloed
- Spreadsheets
- Forecasting + reporting
- + 5 more
- Point solutions
Disconnected · siloed · manual
After · The agentic workforce
- Data Cloud + Snowflake
- Unified golden record
- Anthropic Claude
- Reasoning layer
- Agentforce + Maven AGI
- Autonomous agents
- Service + Revenue Cloud
- AI-first workflows
Unified · real-time · autonomous
The Maple Method
We don't just implement.We operationalize.
Traditional consultants hand off a project and disappear. We build your AI workforce, operate it with monthly Agent Performance Audits, and transfer full ownership when you're ready. No retainer trap. No vendor lock-in.
How we're different
Titan firms
Too big. Too slow. $500/hr generalists.
Modern specialists
Project-based. No Agentic ROI measurement. Disappear after go-live.
Maple
Mid-market velocity. Multi-platform depth. Agentic Governance as recurring revenue.
Build
We architect and deploy your AI workforce: agents, Data Cloud pipelines, and unified integrations in 6 to 10 weeks. Not 9 months.
Operate
Monthly Agent Performance Audits. We optimize prompts, reasoning engines, and data triggers so your agents keep improving every month.
Transfer
Full ownership, zero lock-in. We transfer knowledge, tooling, and governance so your team runs the agentic system independently.
A note from the team
Why we're building this firm, in plain English.
We started Maple because we kept watching mid-market companies pay GSI rates for slide decks. Companies waited nine months for Salesforce rollouts that should have taken eight weeks. Data atrophied across twelve tools nobody had time to fix.
The agentic moment is the first reset in fifteen years where the right answer for a $200M company is not a Big Four engagement.
So we built Maple.
Industry Focus
Three industries we know cold.
Same four-layer architecture every time. Different tuning, different partner constellation, different compliance posture — calibrated for the industry your buyers actually trust you with.
B2B SaaS
Scale CS without 1:1 headcount growth.
Your Frankenstein stack of Gong, Drift, and Intercom is slowing pipeline velocity. We consolidate it into one Agentforce-driven platform.
FinTech
Compliance at the speed of growth.
Compliance complexity meets scaling pressure. We deploy agentic AI inside the Salesforce trust boundary for regulated workloads that can't compromise on either.
HealthTech
Scale patient care without scaling burnout.
Patient data lives in a dozen systems. Care coordination is manual. We deploy HIPAA-compliant agents that extend clinical capacity instead of exhausting it.
Built by the team the Salesforce community already trusts
Founded by Salesforce MVPs.Built by Certified Architects.
Practitioners the Salesforce ecosystem already knows by name. Deploying the agentic stack the next decade demands.

MVP · Golden Hoodie
Melissa Shepard
Partner · CTA & AI Lead

Salesforce MVP
Janeen Marquardt
Partner · Chief Technical Strategist

Salesforce MVP · 19× Certified
Marilo Meta
Solutions Architect

MVP Hall of Fame
Gaurav Kheterpal
Principal Architect

Salesforce MVP · All Star Ranger
Jenh Vo
Senior Salesforce Consultant
Ready to stop scaling linearly?
Take our 2-minute Agentforce Readiness Assessment. We'll show you how much of your team's workload can run on agents today.
Best fit for companies with 250–2,000 employees on Salesforce.