AI development

AI agents on your Salesforce data

Agentforce agents, custom Claude agents and MCP servers that work from your records and act through access you control, designed and built by a certified Salesforce architect.

  • Agentforce Specialist
  • Agents, RAG and MCP
  • Evals before launch

Reference build

Your data in, grounded answers and actions out.

Most builds follow this shape. Retrieval and tools sit between your systems and the model, so the agent works from your records instead of guessing, and every action goes through access you control.

YOUR DATARETRIEVAL AND TOOLSTHE AGENTWHERE IT WORKSSalesforceDocs and KnowledgeData WarehouseInternal APIsMCP ServersRAG IndexEvals + GuardrailsClaudeAgentforceSlackYour CRMYour Product

What you get

Agents that do the work, inside the tools you already use.

Three shapes most of our AI work takes. Each one is scoped up front and quoted after a free discovery session.

Answers from your own data
Ask in Slack or inside Salesforce and get an answer grounded in your records and documents, with the sources shown. Retrieval is tuned on your content, not a generic index.
Work that spans systems
An agent that reads the case, checks the order in your ERP, drafts the reply and logs what it did. Each step runs through tools with the access you grant, nothing more.
Agentforce that reaches further
Custom topics, Apex actions and MCP connections so your Agentforce agents can act on systems outside the org, with a test plan before anything goes live.

Built for your systems

Custom AI development

MCP servers, custom agents, and Agentforce, each scoped up front and quoted after a free discovery session.

Custom MCP Servers

Connect Claude and AI agents to Salesforce, AWS, and your internal systems through the Model Context Protocol. Three fixed-scope tiers with auth, tests, and docs.

See MCP Packages

Custom AI Agents

Agents with their own skills and data connections, deployed where your team already works: Slack, your CRM, or your own product. Built on the Claude Agent SDK and similar frameworks, with evals and guardrails.

How We Scope It

Agentforce

A production Agentforce agent on a fixed scope, or custom topics, Apex actions, prompt templates, and Data Cloud grounding beyond it.

See Agentforce Launch

Capabilities

Agents, retrieval and the strategy around them.

Agents and workflows, search and knowledge, and strategy.

Agents and workflows

Agents that reason, plan, and act, built on the platforms we use in production every day.

5 areas

  • Autonomous AI agents

    Intelligent agents that reason, plan, and execute tasks independently, from process automation to complex multi-step workflows.

    • Agentic AI development
    • Autonomous decision-making
    • Multi-agent coordination
    • Process automation
    • Tool and API integration

  • Claude Agent SDK and Claude Code

    Custom agents and coding/automation workflows built on Anthropic’s Agent SDK, the same foundation our own delivery workflow runs on.

    • Claude Agent SDK builds
    • Claude Code automation
    • Custom tools, skills, and hooks
    • Subagent pipelines
    • Workflow orchestration

  • Anthropic Claude API integration

    Direct Claude API integration into your applications, with the patterns that make it reliable and cost-effective in production.

    • Messages API integration
    • Tool use and structured output
    • Prompt caching and cost control
    • Streaming responses
    • Model selection and migration

  • Multi-agent orchestration

    Coordinating multiple agents and workflows to tackle work a single agent can’t hold, with verification built in.

    • Orchestrator / worker patterns
    • Parallel agent fan-out
    • Adversarial verification
    • Agentforce multi-agent setups
    • Workflow pipelines

  • Claude for Work and agentic co-working

    Connect Claude to the systems your team already uses via MCP and custom skills, so it can work alongside you, not in a silo.

    • MCP server connections
    • Custom skills and tools
    • Slack / desktop / Teams setups
    • Least-privilege access
    • Pairs with our MCP offering

Search and knowledge

Make your data answerable: accurate, context-aware retrieval over your own content.

2 areas

  • AI search and retrieval (RAG)

    AI-powered search and retrieval that combines LLMs with your data for accurate, context-aware responses.

    • RAG architecture design
    • Document processing and chunking
    • Embedding generation
    • Semantic search implementation
    • Context retrieval optimization

  • Vector search

    Vector search for efficient similarity search and semantic data retrieval.

    • Vector databases (Pinecone, Weaviate, pgvector)
    • Embedding storage and retrieval
    • Similarity search optimization
    • Indexing strategies
    • Search integration

Strategy and consulting

Decide what to build, what to buy, and where AI actually pays off.

1 area

  • AI strategy and consulting

    Strategic guidance on AI adoption, use-case identification, and building AI capabilities within your organization.

    • AI strategy and roadmap
    • Use-case identification
    • Build vs buy analysis
    • Technology selection
    • Capability building

How it runs

Prototype fast, prove it with evals, then ship.

  1. Discovery

    A free session on the process, the data behind it, and whether AI is the right tool at all.

  2. Prototype

    A working agent on a slice of real data, so you judge behaviour instead of a slide deck.

  3. Evals

    A test set built from your cases. Changes ship only when the scores hold or improve.

  4. Production

    Auth, logging, guardrails and a handoff-to-human path, deployed where your team works.

Have a process an agent could run?

Describe it on a free 30-minute call. You get a straight answer on whether AI fits and what it would take.

Book a free 30-min scoping call

Or send your project details