AI workflow automation

Multi-step back-office processes that run themselves: documents read, records updated, follow-ups sent, reports generated. With approval checkpoints you control.

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Included

What we automate

Document intake

Invoices, KYC forms and resumes read into your systems automatically, uncertain cases flagged for review.

Lead follow-up

Enquiries acknowledged, qualified and nudged on schedule, so pipeline stops leaking between salespeople's tabs.

Report generation

Daily and monthly reports assembled from live data and delivered before anyone asks.

Ticket triage

Support requests classified, prioritised and routed with context before an agent opens them.

Approval workflows

Multi-step approvals with escalations and audit trails replacing forwarded-email chaos.

Agent-based automation

n8n and custom agents chaining tools together for processes too fiddly for classic automation.

Stack

Tools we use for this work

n8n OpenAI API LangChain Webhooks Laravel queues Approval gates Audit logs

Why us

Why teams choose Codespark

Checkpoints you control

Automation acts, humans approve where it matters. You decide which steps need a signature.

Auditable by design

Every automated action is logged: what ran, on what data, approved by whom.

ROI measured in hours

We quantify hours saved per week per workflow, so renewing the investment is a maths problem.

Approach

Where automation pays first

The best first automation is boring: high-volume, rule-heavy, low-judgement work your team calls mind-numbing. That is where hours return fastest and risk stays lowest. We start there, prove the saving, then climb toward the harder workflows. The document-understanding layer itself belongs to our AI development service; this page is about wiring it into processes that run on their own.

Questions

Common questions

How much does workflow automation cost?

Single-workflow automations typically run $2,500 to $10,000 fixed-price. We scope by hours saved, so you see projected payback before committing.

What if the AI makes a mistake in an automated process?

Uncertain cases are routed to humans instead of guessed, approval gates sit before consequential actions, and every step is logged and reversible by design.

Which tools do you automate with?

n8n for orchestration, LLM APIs for understanding documents and text, and direct integration with your ERP, CRM and mailboxes. All self-hostable where data residency matters.

How do we know the automation is actually saving money?

Each workflow ships with a simple dashboard: runs completed, exceptions raised, and hours saved versus the manual baseline we measure at the start.