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SHIPPING Q1 · 3 AI-NATIVE SaaS PRODUCTS300+ SALESFORCE PROJECTS DELIVERED15+ YEARS · TRUSTED IMPLEMENTATION PARTNERAI AGENTS · LLM · RAG · MLOPS · NOW HIRINGLIVE IN PRODUCTION ACROSS 3 INDUSTRIESSHIPPING Q1 · 3 AI-NATIVE SaaS PRODUCTS300+ SALESFORCE PROJECTS DELIVERED15+ YEARS · TRUSTED IMPLEMENTATION PARTNERAI AGENTS · LLM · RAG · MLOPS · NOW HIRINGLIVE IN PRODUCTION ACROSS 3 INDUSTRIES
AI & Data · Agents

Agents that take action, with humans in the loop.

Tool use, audit trails, escalation routing. Built to be trusted.

Most agent demos look magical and fail in production. Ours are designed for the opposite: every action logged, every decision reversible, and human approval gates wherever the stakes call for them. Sales, ops, support, internal: wherever your workflow spans multiple systems.

01What we deliver

Engineering, not slides.

01

Tool-Using Agents

Agents that call your APIs, query your DB, send Slack messages, file tickets. Scoped permissions per tool.

02

Reviewer-Approval Gates

Approval steps for high-stakes actions (sending money, sending email, binding policies). Configurable per workflow.

03

Audit Trails

Every prompt, every tool call, every output stored. Compliance-ready, debuggable, replayable.

04

Escalation Routing

Knows when to hand off to a human. Routes by topic, urgency, account tier, whatever your rules require.

05

Multi-Channel Interfaces

Slack, Telegram, email, web chat, voice: same agent brain, channel-specific UX.

06

Long-Running Workflows

Resilient to provider outages, model timeouts, partial failures. State persists; agents resume.

02How we work

From idea to production.

01

Workflow modeling

We map the steps a human takes today, then identify which steps the agent owns, which it assists, and which always stay human.

02

Tool inventory & scoping

Catalog every external system the agent touches. Permission scopes designed before code is written.

03

Safety-first build

Approval gates and audit logging implemented before any 'autonomous' behavior. We don't ship unrestricted agents.

04

Pilot, measure, expand

Roll out to one team / one workflow first. Earn the next expansion.

03Stack

Models & tools we reach for.

Anthropic Claude 4.7OpenAI Assistants/ResponsesTool useMCPLangGraphTemporalInngestLogfire
04FAQ

Common questions.

Not on production-write actions: those go through approval gates. The agent can suggest, draft, and act on read-only operations independently.
Task-completion rate, escalation rate, time-to-resolution, and human-corrections-per-1000-actions. We instrument from day one.
Augment, not replace. Best outcomes: agents handle the 60% of routine work, humans get the 40% that needs judgment.
05Next step

Let's scope it together.

Free 30-minute call. Bring your problem statement and current stack, and we'll tell you honestly whether it's worth the build.