Scope
We map your workflow, define what runs and what needs approval, and agree limits in writing.
papsbot
AI agents and automation, installed and working.
We set up supervised assistants and workflow automation for small teams — one workflow at a time, with docs you keep.
What we install
Four focused setups. Scripts before agents. Guardrails in writing. You own the result.
01
AI agent setup
Assistants connected to your inbox, docs, or tools — with rules on what can run unsupervised.
02Private and local setups
When data should stay on your machines — local or private-cloud agent setups.
03Workflow automation
Repeatable steps across web tools and spreadsheets — scripts before agents, logs on everything.
04Coding workflow setup
Repo hygiene, review helpers, and small integrations for teams outgrowing no-code.
Three steps, no surprises
Scope in writing. One pilot you can stop. Handoff so your team runs it without us.
Pilot
One workflow end-to-end with logging and a kill switch. You see it work before committing.
Handoff
Runbooks and access notes so your team operates it. We are not a dependency.
Supervised by default — human checkpoints on anything irreversible
Written scope and limits before build time
Handoff docs so your team can run it without us
How a real workflow lands
Anonymised scenarios. Problem, approach, outcome — including when we said skip.
Supervised
Inbox triage (supervised)
Problem
Small team gets the same questions daily. Replying takes hours.
Approach
Indexed FAQ and past replies; agent drafts responses with source links. Billing and complaints route to a human queue.
Outcome
Draft replies from your knowledge base. Human approves before send. Billing escalates.
Script
Weekly client update
Problem
You ship every week but client updates lag — summarising what changed is tedious.
Approach
Script pulls completed tickets from your tracker, groups by theme, fills an email template. No AI needed for the core loop.
Outcome
Script collects completed items, groups by topic, produces a draft. Human reviews, then sends.
Local
Local document assistant
Problem
Contract work under confidentiality. Uploading to a public AI site is not acceptable.
Approach
Local embedding index on a workstation; queries stay on disk. Export only when the user copies an answer out.
Outcome
Local indexing and queries on your machine. Nothing leaves unless you copy it out.
Script
Lead routing from web forms
Problem
Inbound leads land in one inbox. Sales spends time sorting instead of calling.
Approach
Form webhook tags leads by service line and region, creates a CRM entry, notifies the right rep with context.
Outcome
Leads arrive pre-tagged with a one-line summary. Rep gets a Slack ping with the form details attached.
Supervised
Long document summarisation
Problem
Team reviews 40-page vendor proposals. Reading everything takes half a day.
Approach
Upload to a private workspace; agent extracts requirements, risks, and pricing tables into a one-page brief. Human verifies numbers.
Outcome
One-page brief with page references. Reviewer checks flagged sections, not the full document.
Skip
When we said: don't automate
Problem
Owner wanted AI to make strategic decisions that change weekly.
Approach
Mapped the decision tree — inputs changed too often, exceptions were common. Proposed a weekly review checklist instead.
Outcome
We documented why automation would cost more than it saves. Proposed a checklist instead.
Learn before you build
Practical guides and playbooks — when a script wins, when an agent fits, and how privacy shows up in the wiring.
- AI agent basics — what agents are and when scripts win
- Honest automation ROI — decide if a workflow is worth building
- Data privacy in automation — PII, retention, boundaries
- Playbooks — inbox triage, lead routing, doc summarisation
Common questions
Do you replace my staff with AI?
No. We remove repetitive steps and draft work your team reviews. Fewer hours on busywork, not fewer people.
What tools do you work with?
Email, Google Workspace or Microsoft 365, Notion, spreadsheets, lightweight CRMs, git repos, web forms. If it has an API or export, we can usually connect it.
Is my data sent to public AI services?
Only if that fits your risk tolerance and we document it. Many jobs use local or private options when data is sensitive.
How long does a first project take?
A focused pilot is usually a few weeks of calendar time, depending on workflow clarity and system count.
Bring one workflow. We'll help you decide what's worth automating.
Start with the readiness check — five questions, a plain-language recommendation, then contact if you want a second opinion.