ZZSolutions
Services/$25,000 – $65,000

Intelligent Process Automation

Your most expensive repeating workflow, running itself.

Every organization has a process that runs on human hands when it shouldn't have to. The kind of work that follows a recognizable pattern, consumes significant team time, and produces inconsistent results depending on who does it. That's the target. We design multi-agent AI workflows that handle these processes end-to-end — with full auditability and human-in-the-loop gates where decisions actually matter.

$25,000 – $65,000
8–16 weeks
What's included

Everything in this engagement

We don't automate for automation's sake. Before writing a single line of code, we spend time with your team to understand exactly what the process does, what can go wrong, and what a human needs to approve. The result is a production system that handles the repetitive data work autonomously, logs every decision, and escalates to a person only when something genuinely requires judgment.

→Human-in-the-loop by default — no irreversible action happens without explicit approval
→Built and tested against your real data, not synthetic test fixtures
→Every decision is logged — full audit trail from day one
→Fixed scope and price — no runaway hourly billing
1
Agent workflow architecture
Full design document: agent responsibilities, data flows, decision points, escalation triggers, and the human-in-the-loop checkpoints.
2
Production-ready automation system
Built, tested, and deployed — connected to your existing data sources and business systems. Not a demo; a production system.
3
Audit log and observability dashboard
Every agent action is recorded with timestamps, inputs, outputs, and decision rationale. You can replay any cycle.
4
Error handling and fallback paths
Automated systems fail in ways humans don't. We design explicit recovery paths for every failure mode we can anticipate.
5
Handoff documentation and runbook
Your team learns to operate, monitor, and extend the system. Written runbook included.
Architecture

How we keep the work production-ready

Each service is scoped around the same core standard: the AI must be grounded, measurable, observable, and safe to operate. The output is not a prototype that only works in a demo. It is a system your team can trust, inspect, and improve.

Principle 01

Data first

Identify the source of truth before designing the AI behavior.

Principle 02

Controlled autonomy

Let automation handle repeatable paths while approval gates protect high-impact actions.

Principle 03

Measurable quality

Define accuracy, latency, review rate, failure rate, and business impact before launch.

Principle 04

Operational handoff

Document how the system runs, fails, recovers, and gets extended by the client team.

Process

What happens from here

01

Free technical deep-dive

Week 0

We map the target process together. We want to understand every step, every exception, and what it costs you today.

02

Architecture and agent design

Weeks 1–3

We design the agent fleet — who does what, when, and what happens if something goes wrong. You review and approve before any code is written.

03

Build and integration

Weeks 4–10

We build each agent against your real systems and data. Incremental — you see progress each week, not just at the end.

04

Testing with production data

Weeks 11–13

We run the automation in parallel with the manual process. Your team validates outputs until confidence is high enough to go live.

05

Go-live and handoff

Weeks 14–16

We launch, monitor the first production cycles together, and hand off a documented system your team can run independently.

Case Studies

Work covered by this service

Real engagements where this approach was applied — and the outcomes it produced.

AI Systems

Cross-Platform Commerce Orchestration

Agentic multi-merchant cart unification, cross-platform product sourcing, and fulfillment coordination — one checkout from any combination of merchants

5+Merchants unified
Read the case study
Operations & Infrastructure

Distributed Operations Workflow Automation

Turning manual, operator-dependent infrastructure validation into an automated, auditable, enterprise-grade workflow

90%Validation time saved
Read the case study
Get Started

Tell us about the process

The more you describe the actual workflow, the faster we can assess fit and give you a realistic scope. There's no wrong answer.

What happens after you submit

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Within 1 business day — You get a direct reply — not an auto-responder. We read every submission personally.
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Free 60-minute discovery call — We schedule a technical conversation. No sales pitch — we want to understand the actual problem.
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Honest assessment — If this engagement isn't the right fit, we'll say so and suggest what would actually help.
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Written proposal — If we're aligned, you receive a plain-language scope, timeline, and fixed price.

I respond within 1 business day. No auto-replies, no sales calls without consent.

Not sure which service fits?

Start with a free workflow audit — it tells you exactly where to focus.

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