Discovery
Process mapping, success criteria, data review, risk boundaries, and technical feasibility.
The useful question is not “How much does AI cost?” It is “What does this workflow need to do reliably, how often will it run, and who will operate it after launch?”
Budget for five layers: process discovery, implementation, software usage, testing and rollout, and ongoing ownership. Business380’s focused 7-Day Automation Sprint starts at $2,500; connected operations automation starts at $4,200. Final scope depends on systems, volume, data quality, exceptions, and risk.
Focused build
From $2,500
One well-scoped workflow delivered through the 7-Day Sprint.
Connected system
From $4,200
Multiple handoffs, custom integrations, or broader rollout.
Software
Usage-based
Automation, model, messaging, and supporting tool charges.
Ownership
Ongoing
Monitoring, credential updates, policy changes, and improvements.
Working framework
A quote that includes only build time leaves important operating costs invisible.
Process mapping, success criteria, data review, risk boundaries, and technical feasibility.
Workflow logic, integrations, AI steps, validation, error handling, and documentation.
Platform tasks, credits, executions, model tokens, messages, storage, and API plans.
Representative testing, access setup, team walkthrough, SOP, and initial support.
Monitoring, incident response, credential renewal, rule changes, and optimization.
A workflow with one source, one destination, clean data, and reversible actions is materially different from a workflow that crosses five systems, interprets documents, sends customer messages, and must preserve a detailed audit trail.
The number of screens or steps is not the only complexity measure. Exception handling, data cleanup, permissions, rate limits, and the cost of a wrong action often matter more.
Automation platforms use different billing units. AI providers may charge by tokens or model usage. Email, SMS, document processing, storage, and data enrichment can add separate charges.
Estimate the frequency of the real trigger, the actions performed on each run, the percentage of cases using AI, and any retries. Then add a reasonable volume margin. Use current vendor pricing rather than copying figures from an old comparison article.
Low subscription cost does not guarantee low operating cost if the workflow requires frequent manual recovery.
Time saved is useful only when the team can redirect it. Separate gross task time from realistically recoverable time, then include software and support costs. Also measure response speed, completion, consistency, or error reduction when those outcomes matter more than payroll.
A first project should produce evidence. Measure the baseline, launch a bounded workflow, and compare the result before funding a broader system.
Use this list to compare proposals that may package the work differently.
Continue from here
Move from understanding the problem to evaluating the business case or scoping a concrete implementation.
FAQ
The same visible outcome can require very different integrations, data cleanup, exception handling, and risk controls. Business380 publishes starting prices and defines the scope before work begins.
Unless a proposal explicitly says otherwise, clients should expect to own and pay for the software accounts their workflows use. That keeps access and billing under the business’s control.
Estimate a representative month, configure vendor usage alerts where available, set model and tool limits, and review usage after launch. High-volume paths should be designed with the billing unit in mind.
After the process, data, and ownership are stable enough that connecting multiple handoffs creates more value than operating them separately. A focused first workflow can validate those assumptions.
Describe the trigger, tools, repeated work, and where the handoff breaks. You will get a direct view on feasibility and the most sensible next step.
Request a workflow audit