Workflow complexity
A single repeatable task differs from a multi-step process with exceptions and approvals.
AI automation pricing
Automate work with useful AI.
CodeActivv begins with the workflow, not the model. We scope AI automation around the data, systems, guardrails, and human decisions that make it valuable.
What affects pricing
Data readiness
Source quality, access, structure, retention, and sensitivity influence the safest solution.
System integrations
Connecting CRM, support, document, or internal systems needs reliable permissions and data flow.
Accuracy expectations
Higher-stakes outputs require stronger evaluation, fallback paths, and human review.
Governance needs
Privacy, security, auditability, and domain regulations shape the appropriate implementation.
Adoption and change
A useful automation also needs clear ownership, training, and a process people will use.
Scope comparison
Ranges are directional — final investment is confirmed after discovery, not from a one-size price list.
Workflow proof
Lean scope
Validating a high-value automation opportunity.
- • Workflow discovery
- • Focused prototype
- • Evaluation criteria
- • Recommendation
Timeline: Often measured in weeks
Production automation
Growth scope
Deploying an approved workflow into day-to-day operations.
- • System integration
- • Guardrails
- • User experience
- • Monitoring plan
Timeline: Often measured in months
AI operating layer
Complex product
Multiple connected workflows requiring shared governance and continuous improvement.
- • Architecture roadmap
- • Multiple integrations
- • Evaluation framework
- • Ongoing optimisation
Timeline: Delivered in phases
A clearer path to a reliable estimate
We replace broad assumptions with a shared scope, practical delivery plan, and estimate built around the work that will create value.
Discover
We discuss outcomes, users, existing systems, constraints, and the decisions that affect effort.
Scope
We turn priorities into a focused backlog, identify dependencies, and separate essentials from later enhancements.
Estimate
CodeActivv provides a transparent, scoped estimate with delivery assumptions and a practical timeline.
Deliver
Work is delivered in visible milestones, so you can review progress and make informed trade-offs.
Pricing FAQs
What kinds of work can AI automation improve?
Common candidates include information retrieval, document processing, triage, drafting, classification, and routing. We assess your workflow before recommending a use case.
Do we need clean data before starting?
Not always, but data quality and access affect what is safe and useful. Discovery identifies the minimum data work required.
Can AI automation connect to our existing tools?
Often, yes. We validate APIs, permissions, data flow, and operational ownership before including integrations in scope.
How do you manage inaccurate AI output?
We design evaluation criteria, confidence thresholds, human review, and fallback paths appropriate to the consequence of an error.
Is our data secure?
Security and data handling are assessed for each use case. The right approach depends on your systems, data sensitivity, and governance requirements.
Can we start with a pilot?
Yes. A focused pilot is often the best way to validate value, quality, and adoption before scaling an automation.
Will AI replace our team?
The most useful automations usually remove repetitive work and improve consistency, while keeping people responsible for judgment and exceptions.
How is AI automation maintained?
Production automations need monitoring, evaluation, integration upkeep, and periodic refinement as workflows and models evolve.
Related services
Explore related topics
Contextual links across services, technologies, industries, guides, and pricing — so you can move from research to action.
Related technologies
Related comparisons
Find your best AI opportunity
Bring us a repetitive workflow and we will help assess its automation potential.
Get a free consultation