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

Human-in-the-Loop 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.

Will the agent do something it shouldn't?

Not on production-write actions — those go through approval gates. The agent can suggest, draft, and act on read-only operations independently.

How do you measure agent quality?

Task-completion rate, escalation rate, time-to-resolution, and human-corrections-per-1000-actions. We instrument from day one.

Can it replace a customer support team?

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 — we'll tell you honestly whether it's worth the build.

Schedule a Call