Operations workflows
Triage the inbound request, look up the account, apply the policy, execute the routine case end to end. Hand the judgment calls to a person with everything pre-gathered.
AI agent development
Agents that doreal work,with a personstill in charge.
Agents that do real work: multi-step tasks across your tools, with permissions, oversight and an audit trail built in.
- Multi-step workflows run end to end
- Explicit permissions: an agent can only touch what you allow
- A person in the loop where the stakes demand it
- A full record of every step and decision
Agentic workflow
01 / 05 · Request
A request comes in.
A ticket, an email or a call arrives. The agent reads it and gathers the context it needs before doing anything.
What an agent takes off your plate
Chatbots answer.Agents do work.
An agent plans a multi-step task, uses your tools and systems to carry it out, and reports back with a trail you can audit.
Document pipelines
Read the contract, extract the terms, cross-check against the system of record, flag mismatches, file the result.
Research and monitoring
Watch the sources that matter, pull what changed, and write the digest your team actually reads.
Internal automation
Onboarding, provisioning, month-end. The checklists that eat hours because they span five systems that do not talk to each other.
Running it safely
What makes an agentsafe to run.
A demo agent is easy. One that touches real systems needs limits designed before it gets any autonomy. This is where most of our engineering time goes.
- 01
Permissions first
The agent gets the minimum access each tool needs, granted in code. A prompt cannot widen it.
- 02
Checkpoints where stakes are high
Irreversible or expensive actions pause for human approval, with the reasoning and evidence presented for a ten-second review.
- 03
Audit everything
Every step, tool call and decision is logged. When someone asks why it did that, there is an answer.
- 04
Evaluate like software
Every agent ships with a suite of scenarios, including hostile ones, and no change goes out until it passes all of them.
How an engagement runs
We start withone workflow.
We start with one workflow, not a platform. Pick a high-volume, rule-guided process, define success numerically, and ship a permissioned agent for it in weeks.
The first agent proves the pattern and builds the oversight muscle. The second and third get dramatically cheaper because the guardrail infrastructure already exists.
Before you ask.
What's the difference between a chatbot and an agent?
A chatbot answers. An agent acts. It plans multi-step work, such as looking up the order, checking the policy, issuing the refund and logging the case, and carries it out across your systems with permissions and oversight.
Is agent technology actually ready for production?
For scoped workflows, yes. Recent model generations made multi-step tool use reliable enough for real operations. The engineering around permissions, checkpoints and evaluation is what separates a production agent from an impressive demo, and that discipline is most of what you are paying for.
How do we stop an agent doing something it shouldn't?
Agents get explicit, minimal permissions per tool. Irreversible actions need a person's approval. Everything is logged step by step, and a kill switch stops a run instantly. We design the blast radius before we design the autonomy.
What workflows are good first candidates?
High-volume, rule-guided, multi-step work with clear success criteria: order issue triage, document pipelines, research and summaries, data reconciliation, onboarding checklists. Poor candidates are one-off judgement calls with irreversible consequences.
What does an agent project cost?
A scoped production agent usually runs $30k to $120k, depending on how many systems it touches and how much oversight it needs. The drivers are the same as in our general cost guide.
Which frameworks and models do you use?
We are pragmatic. Frontier models where reasoning quality matters, smaller models for routing and extraction, and thin, replaceable orchestration code rather than heavy frameworks that age badly.
Get in touch
Tell us aboutthe work.
A workflow that takes too long, a model that keeps missing, a product that needs its next version. Write to us and we reply within a working day.
Discuss your use case ↗hello@nftatoms.com