Automate the work nobody should be doing by hand.
We build AI automation into the workflows where it pays for itself — support ticket triage, document extraction, lead qualification, reporting and internal copilots. Every engagement starts by finding the one process with the highest manual-hours cost, then automating that before touching anything else.
- 1 processAutomated and proven first
- 2-4 wksTypical pilot turnaround
- HumanKept in the loop by design
Why teams call us.
Your team retypes the same data all day
Invoice, form and email data moving by hand between systems is the cheapest automation win available, and usually the first thing we remove.
You bought AI tools nobody uses
Generic AI subscriptions fail because they sit outside the workflow. Automation has to live where the work already happens.
Support is drowning in repeat questions
A large share of inbound tickets are variations on a handful of questions. Triage and drafting can be automated without removing the human decision.
Everything included
as standard.
No tiering the basics. These ship with every ai automation engagement regardless of package size.
- Process audit identifying highest-cost manual workflows
- Automation architecture with a human-in-the-loop design
- Custom AI agents and workflow integrations
- Document extraction and structured-data pipelines
- CRM, helpdesk and internal tool integrations
- Evaluation harness so output quality is measured, not assumed
- Cost monitoring and token budget controls
- Team training and operating documentation
How a ai automation
project runs.
Discovery call
We find the workflows costing the most manual hours and sanity-check which are genuinely automatable.
Process audit
We map the current workflow end to end and quantify hours, error rate and cost before proposing anything.
Pilot build
One workflow, automated and measured against the manual baseline, so value is proven before you scale spend.
Integrate and harden
Wire it into your real systems, add human review gates, monitoring and fallback behaviour.
Expand
Roll the pattern into adjacent workflows once the first one is holding in production.
AI Automation Solutions packages.
Ranges, not fixed quotes — final scope lands on the discovery call. Every package books straight into the calendar.
Audit
Find out what is worth automating before you spend on building.
- End-to-end process mapping
- Manual-hours and cost baseline
- Automation opportunity ranking
- Recommended architecture
- Build estimate for each opportunity
- Findings document you keep
Pilot
One high-value workflow, automated, integrated and measured.
- One production automation
- Custom AI agent or pipeline
- Integration with your systems
- Human review gates
- Quality evaluation harness
- Cost and usage monitoring
- 60 days support
Programme
Multiple workflows, ongoing tuning and an internal copilot.
- Multiple automated workflows
- Internal copilot or assistant
- Custom model evaluation
- Ongoing tuning and iteration
- Team enablement programme
- SLA-backed support
Not sure which fits? Book an orientation call instead
Straight answers.
What kind of work can you actually automate?
The reliable wins are document extraction, support ticket triage and drafting, lead qualification and enrichment, report generation, and moving structured data between systems. We start with whichever costs you the most manual hours.
Will AI make mistakes on our data?
Sometimes, which is why we design human review gates into anything consequential and ship an evaluation harness that measures output quality against a baseline. You see the error rate rather than trusting the system blindly.
Do we need to replace our existing tools?
No. Automation is built around the systems you already use. We integrate with your CRM, helpdesk, storage and internal tools rather than asking your team to move somewhere new.
How do you control ongoing AI running costs?
Every build ships with token and usage monitoring plus configurable budget limits. We size the model to the task, so cheap models handle routine work and expensive ones are reserved for the steps that need them.
How quickly can we see results from AI automation?
A pilot automation typically reaches production in 2 to 4 weeks, measured against the manual baseline captured during the audit. That gives you a real before-and-after number rather than a projection.
Pairs well with.
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SEO services built on technical foundations, not link spam. Site audits, content architecture, schema and AI search visibility. See pricing and book a call.
ExploreReady to talk ai automation?
Book a 30-minute discovery call. We will tell you what we would do, roughly what it costs, and whether Langixy is even the right fit.
30 minutes · no obligation · you leave with a recommendation either way