Who it is for
A good fit if your team is…
- Teams answering the same questions from policies, manuals or product data
- Operations that read emails, forms or PDFs before anything can happen
- Businesses that want AI help without giving it unchecked access
AI Agents & AI Systems
Give AI a useful job. And clear boundaries.
AI agents that work with your business knowledge, tools and approval rules. Built around a defined task, with a clear path back to a person.
The problem
Where this helps.
Your team searches across documents, repeats research or retypes information from unstructured messages. An assistant becomes useful when it can find the right context and act within explicit limits.
Discuss your workflowHow it runs
From source material to human approval, step by step.
- 01Source materialYour approved policies and documents
- 02Retrieve contextFinds the records that matter
- 03Structured answerA clear answer in a set format
- 04Policy checkChecked against your policies
- 05Human approvalA person signs off before it continues
Typical timeline
First working agent typically in 2–4 weeks
Scope and price are fixed before the build. You see working software every week.
How it worksExamples
What AI Agents & AI Systems can look like.
Company knowledge assistant
Answers staff questions from your policies, procedures and manuals, with a link to the source.
Document intake agent
Reads invoices, forms or contracts, extracts the fields and flags anything unclear for review.
Inbox triage agent
Sorts incoming emails, drafts replies and routes each request to the right person.
Tools we often use
We work with the tools you already have wherever possible.
OpenAI
Claude
LangChain
n8n
Supabase
WhatsApp
Slack
Gmail
What is included
A useful scope, with clear edges.
01
Knowledge and retrieval systems with source citations
02
Document extraction and structured validation
03
Task-specific agents with allowlisted tools
04
Evaluation sets, escalation paths and operating instructions
Built-in controls
Clear automation. Clear handoffs.
We define what the model may propose, what software must verify and what a person must approve. Sensitive actions need explicit permission; uncertain answers need an escalation path.
Security and engineering practicesHow it works
From first message to a working system.
- 01Send a briefDay one
- 02Review and recommendationWithin a few days
- 03Fixed scope and proposalBefore any build
- 04Build in weekly releasesTypically 2–8 weeks
- 05Launch and handoverLaunch week
- 06Support and improveOptional, monthly
Questions
AI Agents & AI Systems: common questions.
Will the AI make decisions on its own?+
Only within limits you approve. Anything high-impact, such as payments, refunds or commitments to a client, goes to a person first. We test the agent against real examples before it goes live.
Can it use our own documents and data?+
Yes. The agent answers from the sources you approve, shows where each answer came from and says when it does not know.
Which AI models do you use?+
We choose per task, typically models from OpenAI or Anthropic, and design the system so the model can be changed later without rebuilding the workflow.
Start a project
Tell us what needs to work better.
Share the workflow, product or operational bottleneck. We’ll review the context and recommend the most practical next step.
Email usinfo@sequenceautomate.comAsync-first. Available worldwide.
No meeting required to send your brief.