Fintel Analytics

AI agents that take the repetitive work off your team.

We design and build agents that research, draft, classify and reconcile, wired into the data and tools you already use. A person approves the output wherever a mistake would be expensive, and every model call is logged with its cost.

Sound familiar?

What we hear before a project like this.

“Our best people lose hours every week to research and drafting that follows the same steps every time.”
“We tried an AI pilot. Nobody could say what it cost per run or what happens when it’s wrong, so it never went live.”
“The work is spread across an inbox, a spreadsheet and three browser tabs, and nothing connects them.”
What we deliver

An agent that does one job well, and shows its working.

One workflow, end to end

The agent takes a defined task from input to finished output: finding prospects, researching a company, drafting a reply, matching a payment.

Connected to your tools

It reads from and writes to the systems you already use, such as your database, inbox, CRM or a shared spreadsheet.

Human approval where it matters

We agree with you which outputs a person signs off before they go anywhere, and let the rest run on their own.

Rules enforced in code

Limits that must never break, like word counts or banned phrases, are checked by the code after the model writes, not left to the prompt.

Every call costed

Each model call is logged with its purpose and cost, so you can see the running cost per task. Routine steps go to a cheaper model.

A kill switch and a handover

One switch pauses the whole pipeline. You get documentation and a walkthrough so your team can run it without us.

How an engagement runs

Four steps, one fixed price.

  1. Free consultation

    We look at the workflow, the data it touches and what a good result would look like for you.

  2. Fixed-price proposal

    Scope, deliverables and one project price. You know the cost before any work starts.

  3. Build on your data

    A working version early, tested on your real data and reviewed with the people who will use it.

  4. Handover

    Documentation and a walkthrough, so your team can run it. Fractional support afterwards if you want it.

Outcomes

What this looked like for a pre-seed tech company.

Case study · Pre-seed tech company

A go-to-market system that finds the right contact for 86% of leads

The prospecting stage rarely found a contact and most runs failed, so very few leads reached outreach and each one cost too much.

Read the case study →

7 operating days after the fix vs the 7 days before, Sep–Oct 2026.

Leads with a contact found
5%86%
Runs that failed
86%14%
Cost per outreach-ready lead
$1.28$0.05
FAQs

Before you ask.

What does an agent cost to run once it’s live?

Every model call is logged with its cost from day one, so you see the running cost per task, not an estimate. We send routine steps to cheaper models and keep the stronger ones for the steps that need them.

What happens when the agent gets something wrong?

We decide with you where a person approves the output before it goes out. Rules that must never break are enforced in code, and a kill switch pauses the whole pipeline if something looks off.

Do we own what you build?

Yes. It runs on your accounts and your stack, with documentation, so nothing depends on us after handover.

Which task would you take off your team first?

Tell us about it. The first consultation is free, and projects start from $1,500.

Book a free consultation →