How we work
We're an AI agent development company that doesn't hand the work back. We scope it, build it, run it, and own it under a defined SLA.
01 – THE TWO PATHS
Most AI agent development companies hand it back
The standard engagement is a project. Someone scopes it, builds it, demos it, and leaves. What you're left holding is a system your team now has to understand, monitor, and repair — usually without the people who built it.
That's the moment most AI projects actually fail. Not on the model. On the handoff, the edge cases, and the changes nobody planned for.
We build the agent and then we keep running it — in production, under an SLA, with our team on the hook when something breaks.
A Typical Development Company
Scope, build, deploy, exit
Tools-first approach
Templated workflows
Set up and disappear
You maintain it
Predflow
Agent owned end to end
Process mapping first
Built for exceptions, retries and edge cases
Continuous improvement
We own uptime — it's our problem before it's yours
02 – the four promises
Four things we take off your team
We map the actual workflow first — who touches what, which exceptions come up, which approvals matter, where your data really lives. Not a discovery deck. The rules your operation runs on.
We build it.
Agents that work inside the systems you already run — SAP, SAP B1, Tally, Zoho, your ERP, vendor portals, email, WhatsApp. No migration, no new interface for your team to learn.
We run it.
The agent runs in production every day. We monitor it, we handle the exceptions it flags, and we fix what breaks — proactively, not on a ticket.
We own it.
Under a defined SLA. Uptime is our responsibility. Every exception we handle becomes a rule, so the agent gets better at your operation over time.
03 – TWO WAYS TO WORK WITH US
Two ways to bring Predflow's engineering into your team. Pick the model that fits how you build
Embedded Capacity
Senior engineers embedded in your team
Architect-level oversight on every build
Works inside your existing sprints and tools
Scales up or down with your roadmap
Build & Maintain
Deployed directly in your environment
Maintained under a defined SLA
We own uptime, it's our problem before it's yours
Proactive fixes, not just reactive tickets
Built by a team with 15+ years of enterprise delivery
Education
Legal
Logistics
Real Estate
SaaS
E-commerce
E-commerce
Finance
04 – WHAT WE RUN
The workflows we take over
These aren't demos. Each of these runs in production for a client today.
Finance & AP
Accounts payable and procure-to-pay · Invoice-to-GRN posting · AP 3-way match · Order-to-cash
Reconciliation
Orders & procurement
Logistics
05 – proof
What it looks like in production
Plum Goodness — invoice-to-GRN in SAP
40+ invoices a day were being matched to POs and posted to SAP by hand. The agent now does the matching and posting; the team reviews only the exceptions it flags.
90% reduction in AP processing time · 16 person-hours saved per day · live in 1–2 weeks
PAC Cosmetics — marketplace settlement reconciliation
Settlement files from multiple marketplaces reconciled against expected payouts, with discrepancies flagged for review instead of found weeks later.
06 – HOW AN ENGAGEMENT STARTS
What the first month looks like
Step 1
Week 1 — Workflow mapping. We sit with the team doing the work today and document what actually happens, including the exceptions nobody wrote down.
Step 2
Week 1–2 — Access and environment. We connect to your ERP and source systems in your environment. Nothing moves to ours.
Step 3
Week 2–3 — First agent live. The first workflow goes into production, running alongside your team rather than replacing them on day one.
Step 4
Ongoing — We run it. Monitoring, exception handling, fixes and improvements under SLA. Your team reviews flagged exceptions; we handle the rest.
FAQ
Frequently asked questions
What exactly is an AI agent
An AI agent is an autonomous system designed to handle specific business tasks end-to-end. Unlike simple chatbots, AI agents can reason, take actions, integrate with tools, and follow defined workflows.