Think, Act, Deliver

Purpose-built AI agents for enterprise operations — private, auditable, and designed around your workflows.

Turn operational work into agents

Start from real team work: recurring decisions, internal requests, reviews, handoffs, and tool actions that still need context and control.

Find the work worth automating

Identify the repetitive operational moments where teams lose time: triage, research, reporting, follow-ups, approvals, and internal coordination.

Define context and boundaries

Connect the right knowledge, data sources, permissions, review points, and policy rules before any agent starts taking action.

Convert it into an agent flow

Turn the process into a controlled Birk workflow that can understand the request, choose the right model, use tools, and hand off when needed.

Understand the work, data, and rules

Before an agent acts, define what it should know, which sources it can trust, where approval is required, and which systems it is allowed to touch.

Thread in #birk-ops
L
lena3:06 PM

Can Birk handle onboarding questions without exposing private customer data?

D
didier3:06 PM

Yes. We can ground the answer in approved sources, use account context, and keep review rules active.

A
andreas3:07 PM

Good. Let it draft the first response, ask for missing context, and hand off edge cases to a human.

@Birk
draft a secure reply, cite sources, and request review if confidence is low
Aa

Assign the right Birk model to the right job

Route each step to the right model: fast classification, light reasoning, deep analysis, vision, or voice.

Birk

I have the request, context, and policy rules.

Starting a secure run inside briqmind/private-workspace.

Loading approved knowledge and recent memory.

briqmind/private-workspace$ birk retrieve --policy enterprise

knowledge_base.md, account_memory.json, approval_rules.yaml

Preparing a grounded response for enterprise onboarding

Reasoning with tools.
Assign model...
Birk-HeavyAgent
S
Steven
E
Ema
Birk-FastAgent
Birk-CallAgent
M
Meg

Keep human approval and control in place

Decide what runs automatically, what needs review, and how each agent moves from pilot to production with control.

Calendar
FEB
291623
MAR
291623
APR
6132027
MAY
4111825
JUN
181522
JUL
6132027
AUG
3101724
SEP
7142128
Control plan
Agent rollout
42
Internal pilot
12
Human review points
18
Production handoff
12
Risk controls
16
Voice agent approval
7
Sensitive data limits
9
Birk agent rollout
Pilot teamsProduction teams
Blip voice deployment
GA
Internal pilotLive calls
Approval and audit controls
Live with guardrails

Measure quality, speed, and control

See which agents save time, where quality drops, and which workflows are ready to scale.

181614121086
Weekly agent brief
Listen
1.0x
Enterprise onboarding agent
Needs review
By operations lead · 1 day ago
  • First-pass answers are accurate, but regulated accounts still need stricter approval rules.
  • Security wants one more review on retention, audit logs, and source visibility before full rollout.
Blip voice pilot
On track
By solutions team · 3 hours ago
  • Voice flows are stable and human handoff is working as expected.
  • Next step is expanding to a second pilot group with stricter call logging enabled.
Turnaround by workflow
Birk-Fast
Birk-Heavy
Manual
Node.js
Python
TypeScript
vLLM
NVIDIA
Docker
VS Code
PyTorch
Kubernetes
Git
Bun
React
Next.js
Vercel

Start a workflow
with Birk

Choose the right model, connect your tools, and move reliable AI workflows into production.

Build a workflow