Service — AI Automation
AI automation for repetitive workflows, internal knowledge and real operational bottlenecks.
ALIFY applies AI where it can remove a repeatable source of friction. That can include document handling, internal knowledge retrieval, customer-support assistance, content operations, data extraction or workflow orchestration—with human checkpoints where judgment still matters.
AI is most useful when the workflow, data and failure conditions are understood before a model is added. A reliable automation needs clear inputs, boundaries, evaluation and fallback behaviour. We start with the operational problem and design the AI component around it.
This service is for teams with repeatable knowledge or information workflows that consume time, depend on manual handoffs or make internal knowledge difficult to use. It is most effective when there is a clear process to improve, not just a desire to ‘add AI’.
Common constraints. Clear priorities.
Teams spend time copying, summarising or reformatting information between systems.
Useful documents exist, but employees cannot quickly find grounded answers.
Common requests require manual lookup and drafting before a human can respond.
PDFs, emails or forms need information extracted before another process can continue.
Prototype AI workflows produce inconsistent outputs because evaluation and human review were not designed.
The AI step is useful in isolation but not integrated with the CRM, database, help desk or internal workflow.
What this engagement can include.
AI workflow automation
Connect language-model steps with business rules, APIs and existing systems.
AI agents
Design bounded agents for specific tasks with tools, permissions and evaluation criteria.
RAG systems
Ground responses in approved documents, databases or internal knowledge sources.
Document extraction
Classify, extract and structure information from repeatable document flows.
Support assistance
Draft, route or enrich support work while keeping human review where appropriate.
Internal knowledge assistants
Help teams retrieve information from controlled business sources.
Visible milestones. No black box.
Map the workflow
Document the current steps, inputs, systems, exceptions and people involved.
Choose the AI role
Decide which parts benefit from language models and which should remain deterministic or human-led.
Prototype
Build a narrow workflow and test it against representative examples.
Integrate and guard
Connect systems, permissions, evaluation and fallback behaviour.
Monitor and improve
Review real outputs, failure cases, cost and operational impact before expanding scope.
Deliverables, structured.
Engagement
Scope first. Then the right model.
Focused audit or sprint — useful when the first need is diagnosis, strategy or a contained improvement. Fixed project — useful when the outcome, deliverables and milestones can be clearly scoped. Ongoing improvement — useful when progress depends on recurring optimisation, content, support or analysis.
Proof
Related work, when the context is real.
Asked often.
Cost depends on scope, complexity, integrations, content readiness, turnaround and the level of strategy or ongoing support required. ALIFY can work through fixed projects, focused sprints or retainers. We define the problem and deliverables before giving a serious estimate.
Timing depends on the number of templates or workflows, content readiness, integrations, review cycles and launch risk. A focused landing page or audit can move quickly; a full website, ecommerce build or connected system needs a staged plan. The proposal sets realistic milestones before work begins.
Yes. We can audit, improve, migrate, redesign or rebuild an existing WordPress, Shopify or custom website. The first step is deciding which parts of the current system are useful, which are creating friction and whether a targeted improvement is more sensible than a full rebuild.
Ownership and licensing are defined in the project agreement. Once agreed obligations are met, client-specific final deliverables are transferred according to those terms. Third-party software, fonts, plugins, stock assets or other licensed materials remain subject to their own licences.
Yes. Many digital problems cross more than one discipline. A website may need UI/UX, SEO and content; an automation may depend on APIs and data; a Shopify project may need analytics and conversion work. We scope the smallest useful combination around the same outcome.
Related services
Useful when the problem crosses disciplines.
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Start a project
Bring us the problem behind the brief.
Show us the repetitive workflow, the information it uses and where human judgment is still required. We will help decide whether AI belongs in the process and what a safe first version should look like.