The full power of Salesforce, engineered in.
As a certified Salesforce partner, we help businesses of every size maximize their CRM investment — Agentforce 360 implementation, Data 360 as the context layer, and AgentExchange development delivered with engineering rigor.
Platform 161 · Agentforce 10 · Sales 19 · Service 24 · Marketing 3 · Data 360 4
Salesforce-verified — see our AppExchange listing →Certified to deliver Agentforce and beyond
Agentforce 360 Implementation
We deploy Agentforce 360 so autonomous agents work across your customer-facing and employee-facing functions — Sales Cloud, Service Cloud, Field Service, and Marketing Cloud on the customer side; IT Service, Operations, and Contact Center inside the business. Agent Script gives agent behavior deterministic guardrails, Agentforce Voice takes agents onto the phone channel, and every agent is grounded in your business context through Intelligent Context. We stand up the Command Center and Testing Center from day one, so agent quality is observed and batch-tested, not assumed.
Data 360 & Zero Copy Foundation
Agents are only as good as the context they stand on. We implement Data 360 (formerly Data Cloud) as the context layer of your org — unified profiles, Real-Time Pipelines, and Zero Copy integration to warehouses like Snowflake and Databricks, so data stays where it lives and agents still reason over it. Tableau semantics turn that unified data into governed insight for humans and agents alike.
AgentExchange & AppExchange Development
AppExchange, the Slack Marketplace, and the Agentforce ecosystem merged into the unified AgentExchange in April 2026 — one marketplace for apps, pre-built agents, and MCP tools. We build, package, and publish on it: managed packages, agent skills, and MCP tool listings, with deep expertise in Salesforce DX, Lightning Web Components, Apex, and the Security Review process. Four of our own apps have cleared Salesforce ISV security review.
ISV Partner Services
We support Independent Software Vendors from product conception through marketplace launch and beyond — architecture, licensing models, Security Review readiness, and go-to-market on the unified AgentExchange, including private offers and unified billing through its Go-to-Market App. You launch faster, avoid the common pitfalls, and build a product that resonates with Salesforce customers.
Agentforce Coworker & AIforce Surfaces
We configure Agentforce Coworker — the AI teammate in every Lightning search bar, successor to Agentforce Assistant and Einstein Copilot — beyond the out-of-the-box defaults: custom actions, integrations with external data and APIs, prompt templates, and topic libraries tuned to your industry workflows. The same discipline extends across the AIforce surfaces announced at Dreamforce 2026: Salesforce in Claude (beta, with 37 prebuilt sales skills running under each user's own permissions), Slackforce, and employee agents resolving tickets and working across email and ERP.
Field Service & Revenue Cloud
We implement Field Service — scheduling, dispatch, geolocation-based technician routing, and mobile sign-off — and Revenue Cloud across the quote-to-cash lifecycle: quoting, contracts, billing, and revenue recognition on one platform. Our published dental-technology case study runs exactly this pattern: sales, service, and field operations unified, with technicians routed by geolocation instead of spreadsheets.
Agent Economics & Governance
Consumption pricing is now a design constraint. We model credit burn before you commit — Flex Credits versus per-conversation pricing, Digital Wallet monitoring with threshold alerts, and pilots built on the 200,000 Flex Credits included free with Salesforce Foundations on Enterprise Edition. Koa, the CRM-tuned reasoning model Salesforce announced at Dreamforce 2026, changes the cost curve: the AI gateway routes routine, well-scoped actions to Koa and reserves frontier models for judgment calls, and we design agent workflows around that split. Governance runs through the Einstein Trust Layer and Command Center dashboards, so cost and behavior are visible to the people accountable for both.
Fixed scope, written findings
Not every engagement needs a project team. These two reviews are deliberately bounded: a defined set of questions, a fixed fee scoped in a single call, and written findings you keep whether or not we do the follow-on work.
Agent Economics Review
For teams running Agentforce — or about to commit — where consumption pricing has become a budget question.
Your current and projected action economics: Flex Credits at $500 per 100,000 credits with a standard action at 20 credits — about ten cents per action — against the $2-per-conversation model. Which workflow steps belong on routine Koa-routed paths and which genuinely need frontier-model judgment. And where governance is thin: Digital Wallet thresholds, Command Center visibility, Trust Layer coverage.
A written report with concrete recommendations — the pricing model that fits your action volume, a routing split per workflow, and the governance gaps to close, in priority order.
Salesforce in Claude Governance Review
For orgs evaluating the Salesforce in Claude beta and deciding what has to be true before it reaches production data.
How per-user permission inheritance maps onto your actual profiles and permission sets — the integration reproduces whatever over-provisioning already exists. Whether approval-before-write stays at its default, how the admin opt-in request moves through AgentExchange, and which users make a sound pilot cohort.
A written governance plan plus a usage policy — who opts in, what stays read-mostly, where the approval gate holds — ready for your admins and your pilot cohort.
Six steps, zero surprises
- 01
Discovery & Requirements
We assess your current org, business processes, and data landscape through structured discovery workshops. For new implementations, we document requirements, define success metrics, and identify high-value Agentforce and AI opportunities aligned to your goals.
- 02
Solution Design & Data Strategy
Our certified architects design a blueprint that maximizes native Salesforce capabilities — Data 360 unification, Agentforce 360 configuration, and the credit-consumption model your agents will run on. We map your data model, automation flows, security model, and integrations before writing a single line of code.
- 03
Build, Configure & Test
We build in a dedicated sandbox following Salesforce best practices across Apex, Lightning Web Components, Flow, Prompt Builder, Agent Script, and Agentforce actions. Testing spans unit, integration, batch agent-response testing in the Agentforce Testing Center, Einstein Trust Layer validation, and UAT with your team.
- 04
Data Migration & Integration
We prepare, cleanse, and migrate your data into Salesforce and Data 360 with full traceability. MuleSoft, Zero Copy integration, and platform APIs connect ERP, warehouses, marketing tools, and third-party systems into a unified, real-time foundation for agents and automation.
- 05
Go-Live & Training
We manage production deployments with cutover planning, rollback contingencies, and zero-downtime releases. Post-launch, role-based training for end users, admins, and leadership means teams adopt Agentforce, Einstein AI, and new workflows from day one.
- 06
Optimization & Managed Support
After go-live we run the Agentforce Command Center as the operating dashboard — response times, error rates, escalations, adoption, and credit consumption in one place. We gather feedback, fine-tune agents against Testing Center baselines, and iterate on automations so your investment delivers compounding ROI over time.
How we turned eight years of resolved cases into a live, AI-searchable knowledge base inside a national insurer's Salesforce org.
