Automation opportunity audit
We map your workflows, time cost and error rate, and rank the candidates by payback period.
Build and automateAIA
Automate the work nobody should be doing
Custom AI agents that triage support, qualify leads, read documents and update your systems with guardrails logging and a human in the loop where it counts.
AI Agent Automation
OverviewMost businesses lose hours every week to work that is repetitive, rules based and quietly expensive: copying data between systems, answering the same twelve questions, extracting fields from PDFs, chasing status updates.
We build AI agents and automations that take those tasks on. Not a chatbot bolted to a homepage agents connected to your real systems, with defined permissions, audit logs and clear escalation to a person when confidence is low.
Every build starts with a process audit, because automating a broken process only makes it fail faster.
What's included
8 inclusionsCustomer support agents
Agents that answer from your documentation, resolve routine tickets and hand complex cases to staff with full context attached.
Lead qualification and routing
Enquiries scored, enriched, answered and pushed into your CRM with the right owner and next action.
Document processing
Invoices, applications, contracts and forms read, validated and posted into your systems.
Internal knowledge assistants
Retrieval augmented assistants over your policies, product data and history, answering with citations.
Workflow and system integration
CRM, helpdesk, accounting, ERP and email connected through reliable, monitored pipelines.
Guardrails and governance
Permission scoping, prompt hardening, PII handling, logging and human review gates.
Monitoring and tuning
Accuracy, containment and cost tracked after launch, with regular retuning as your processes change.
How we work
Four stages01
Process audit
Shadow the current workflow, quantify the hours and define what 'good' looks like in measurable terms.
02
Pilot
One narrow, high value workflow built and run in parallel with humans to prove accuracy before it takes load.
03
Deploy
Integrations hardened, guardrails set, staff trained on escalation and override.
04
Expand
Adjacent workflows added once the first agent is dependable and measured.
What you get
Outcomes- Hours per week returned to the team that was doing the copying
- Faster first response times without extra headcount
- Fewer transcription errors between systems
- A clear audit trail of what the agent did and why
Questions
FAQIs our data used to train public models?
No we use enterprise API endpoints with training disabled, scope what data an agent can reach, and can keep sensitive processing inside your own environment.
What if the agent gets something wrong?
Confidence thresholds and escalation rules route uncertain cases to a person, and every action is logged so mistakes are traceable and correctable.
Will this replace our staff?
In practice it removes the queue of low value tasks so the same team handles more volume with less friction. We scope for capacity, not redundancy.
How quickly do agents pay for themselves?
Well chosen first workflows typically pay back within a few months which is why we quantify hours saved during the audit rather than after the build.
Works well with
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