What We Build
The agentic stack,assembled.
Vonage · Service / Sales / Marketing Cloud
Anthropic · Agentforce · Maven AGI
Data Cloud · Snowflake · Databricks
AWS · Salesforce
The Four Layers
Each layer composedfrom the right partners.
The agentic enterprise is layered architecture, not a single product. Each layer has its own concerns, its own platforms, and its own governance.
Where the agent's reality lives.
The Data Foundation
Without a unified, real-time, governance-ready data foundation, every agent above it hallucinates or stalls. We architect the golden record that makes agents trustworthy.
Salesforce Data Cloud · Snowflake · Databricks · AWS
- Data Cloud zero-copy integrations to Snowflake and Databricks
- Identity resolution across product, sales, and CS systems
- Real-time triggers on data events (not nightly batch)
- Compliance and lineage baked in: HIPAA, SOC 2, GDPR-ready
Where decisions and actions happen.
The Reasoning + Agent Layer
Claude is the reasoning engine. Agentforce and Maven AGI are the runtimes that take action: qualifying leads, resolving cases, orchestrating revenue. Two deployment paths.
Anthropic Claude · Salesforce Agentforce · Maven AGI
- Native: Claude inside Agentforce via the Salesforce-Anthropic integration: trust-boundary path
- Standalone: Claude on AWS Bedrock or direct API: for non-Salesforce stacks
- Maven AGI for L1 deflection: alternative or complement to Agentforce per engagement
- Industry-tuned reasoning patterns for FinTech, HealthTech, B2B SaaS
Where the agent meets the customer.
The Experience Layer
Per Salesforce's TDX2026 Headless 360 announcement, the experience layer is decoupled from the agent runtime. Agents do their work in Agentforce; the work shows up wherever the customer is.
Vonage · Salesforce Service / Sales / Marketing Cloud
- Voice + SMS agents via Vonage for compliance-aware outreach
- Web chat surfaces backed by Service Cloud and Maven AGI
- Embedded agentic experiences inside your own product UI (via Headless 360 / MCP)
- Slack, WhatsApp, voice, web: agents show up where the customer is
The Maple flagship: recurring service, not project deliverable.
Agentic Governance
Where most agent deployments quietly fail in year one. Production agents drift, prompts decay, data triggers misfire, and reasoning quality slips. We don't hand off and disappear.
A monthly subscription, governed by Maple
- Monthly Agent Performance Audits: what each agent did, where it failed, where to retune
- Prompt + Atlas reasoning-engine optimization based on real conversation data
- Eval framework + automated regression testing across releases
- Quarterly business reviews with measurable Agentic ROI
- Build-Operate-Transfer: full ownership handoff when ready, no vendor lock-in
What "production" means
The architecture isn't the slide deck.
The architecture is how production agents handle five thousand customer events a day in week eighteen of the engagement without a human in the loop.
The Engagement Model
Build. Operate. Transfer.No retainer trap.
Build
Agents and the data foundation in 6 to 10 weeks. Not 9 months.
Operate
Agentic Governance keeps the system improving every month.
Transfer
Your team owns it independently when you're ready.
What We Don't Do
A short, opinionatedfilter.
It costs us a few inbound leads. It qualifies the rest much harder.
- Generic Sales Cloud rollouts that don't include an agent layer
- Retainer trap "managed services" that are ticket queues with a different name
- Software license resale: we architect on the platforms you already pay for
Industry-Specific
Same four layers.Different stacks per industry.
See the partner constellation we deploy for each.