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OpenClaw

Open-source agent for email, CRM, and scheduled workflows: we install it within your perimeter, with access control and usable logs.

Value proposition

OpenClaw automates repetitive tasks without replacing your judgement: we configure guardrails, alerts, and manual fallbacks.

In Geneva, we favour local-first architectures when your regulated data requires it.

Why OpenClaw

Active open source: we stay transparent on versions and patches.

01

Scheduled execution

Background work: queue and consultable logs.

02

Skills

Email, APIs, files: broad coverage to prototype fast.

03

Channels

Slack, mail, messaging: unified context when useful.

04

Memory

Persisted preferences: less re-entry for operators.

05

Model of choice

Cloud or local depending on cost, latency, and data policy.

06

Self-host

Server or CH cloud possible: to validate with your legal team.

Our method

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01

Mapping

1 week — List of flows with immediate ROI + security constraints.

02

Installation

1–2 weeks — VPN/SSH access, secrets, backups — checklist validated together.

03

Agents

2–4 weeks — Pilot automations; we measure tickets handled vs before.

04

Run

Ongoing — Updates, new flows, and monthly incident review.

Observed results

Email & ticket triage

−40–60%

Time saved on classification and routing when rules are bounded, tested, and measured in pilot.

First live agent

2–3 wks

Pilot automation in production with consultable logs and validated manual fallbacks.

Traceability

Logs

Agent action logging for internal audit and documented manual recovery.

Full deployment

4–6 wks

Installation, guardrails, integrations, and operator training depending on perimeter complexity.

Frequently asked questions

OpenClaw, security, and integrations — what the agent does in production, and what it does not replace.

Key concepts

OpenClaw is an open-source agent framework: it chains tool actions (email, APIs, files, CRM) rather than simply conversing. We deploy it within your perimeter — server, cloud, or local-first depending on your FADP constraints. Every automation has guardrails, alerts, and explicit manual fallbacks. The goal is to remove repetition, not your business judgement.

Yes, if infrastructure follows our presets: least privilege, encryption, usable logs. We document configuration for internal audit and IT review. Local-first architectures are preferred when your regulated data requires it — to validate with your legal team. We refuse production go-live without a clear access perimeter and simple revocation.

Strategy & execution

You validate business scenarios and edge cases; we handle infrastructure setup, integrations, and monitoring. Then, short training: prompt writing, log reading, manual recovery. No ML team required — a business lead and an IT contact suffice for a pilot. We remain available for post go-live evolution and incidents.

If a documented API exists, or a reliable CSV export is available, we connect — CRM, Slack, messaging, Google Workspace, etc. If the source is unstable or undocumented, we say so clearly before commitment. We prototype fast on a flow with immediate ROI, then expand. Every connector is tested in sandbox before production.

Measurement & follow-up

Before deployment, we define a baseline: tickets handled, triage time, manual follow-ups. After the pilot, we compare over the same period. Gains are visible from the first month on well-bounded cases — not on vague AI-everywhere promises. If ROI is not there, we adjust or stop the flow.

Deploy OpenClaw properly

Priority use list and estimate within two business days.