Do we need an agent, or an automation?

If every step is known in advance, an automation. An agent earns its place when the input is messy language and the next step depends on understanding it.

Whichever fits the job and your data policy. Hosted models by default; local models where the data cannot leave your servers.

How quickly can you start?

Discovery usually begins within one to two weeks of a first call. If something is urgent, say so and we will tell you honestly whether we can fit it.

What if we don't have finalised requirements?

Then we start with a short paid scoping sprint: we map the workflow, define the scope and backlog, and give you an estimate you can hold us to.

Do you offer retainers?

Yes. A retained squad gives you ongoing design, development and automation capacity billed monthly, with a fixed set of people who know your systems.

Is maintenance included?

Every build includes three months of support after launch. After that, a retainer or ad-hoc work, your choice.

AI agents

LLM agents with guardrails

Start a project

                                                            
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Language-model agents that do a bounded job inside your systems, with the tools, memory and limits they need to be trusted. We build the ones that are worth building and say when a plain script is better.

An agent is a program that reads messy input, decides what to do, uses a tool, and checks its work. That is useful in a narrow set of places and a liability everywhere else. We build for the narrow set.

Where agents earn their place

Support and intake over WhatsApp or email, answering from your own data and handing off when unsure
Enrichment and classification of records that arrive as free text
Research and drafting steps inside a longer workflow that a person then reviews
Internal assistants over documentation, tickets or a database

How we keep them honest

Every agent we ship has a fixed set of tools, a budget, an audit log, and a way to stop and ask a person. Answers come from retrieval over your data, not from the model's memory. Before launch we run it against a set of real cases and show you where it fails, because it will fail somewhere, and you should know where.

Where we have done this.

WhatsApp support automation
Common questions are answered from live data; anything uncertain goes to a person.
Enterprise client, name withheldBusiness systems

Questions about AI agents.

Do we need an agent, or an automation?: If every step is known in advance, an automation. An agent earns its place when the input is messy language and the next step depends on understanding it.
Which models?: Whichever fits the job and your data policy. Hosted models by default; local models where the data cannot leave your servers.
How quickly can you start?: Discovery usually begins within one to two weeks of a first call. If something is urgent, say so and we will tell you honestly whether we can fit it.
What if we don't have finalised requirements?: Then we start with a short paid scoping sprint: we map the workflow, define the scope and backlog, and give you an estimate you can hold us to.
Do you offer retainers?: Yes. A retained squad gives you ongoing design, development and automation capacity billed monthly, with a fixed set of people who know your systems.
Is maintenance included?: Every build includes three months of support after launch. After that, a retainer or ad-hoc work, your choice.

Not answered here? Write to contact@ffstudios.io. We reply within one working day.

Need AI agents? Say what for.