AI agents in 30+ deployments: 30–80% lower cost
Cross-industry · finance, supply chain, customer ops, HR, analytics · IAC and partners. Client anonymized under NDA.
The case at a glance
The situation, what we did, and the result.
The challenge
High-volume manual work, errors and rework, slow cycles, and compliance that manual work could not keep up with.
Our work
- AI agents and automation built for five business functions
- Deployed to production with the client’s sign-off
- Supported and improved after go-live
What the client got
Clients anonymized under NDA. Figures are average results across delivered engagements.
How the engagement created value
From process diagnosis to automation, and measurable results.
Process discovery, bot and agent build, user acceptance testing, and phased deployment.
Finance, supply chain, customer operations, HR and compliance, analytics. Each domain automated.
Bots, AI agents, runbooks, exception handling frameworks and scale roadmaps, all deployed.
Across all delivered workflows, from invoice processing to onboarding and claims.
Direct labor cost reduction and staff redeployed, across 30+ deployments.
Built for scale: not just the first bot or agent, but the full framework to keep automating.
A practical bridge from process diagnosis to automation at enterprise scale.
In detail
Five AI and automation programs, 30+ deployments
The model scales because automation and agent blueprints are reused across clients. Each deployment makes the framework stronger and cuts time to value for the next.
Why it mattered for the client- Each program was scoped, built and deployed with measurable SLAs and exception handling from day one.
- Blueprints were designed for reuse, for a faster rollout across client environments.
- 30+ deployments proved the model in regulated and unregulated sectors.
Invoice and claims processing
AI-assisted and bot-driven invoice intake, validation, approval routing and claims reconciliation.
Procurement and inventory
Automated purchase orders, inventory reconciliation and fulfillment exception handling.
Returns, categorization, promotions
Automated returns processing, product categorization and promotion eligibility checks.
Onboarding and KYC
AI agents for onboarding, KYC document processing and compliance checks.
Reporting and data aggregation
Automated reporting pipelines, AI-assisted data aggregation and scheduled analytics delivery.
Who this fits and how to start
Who this case fits, why clients pick us, and the usual way to start.
Who this fits
- Organizations with high-volume, rule-based and judgment-heavy workflows, ready for AI agents.
- Leaders who target measurable cost reduction and faster cycle times, without headcount growth.
Why us
- AI agents and automation on UiPath, Automation Anywhere, Power Automate and LLM-native workflows.
- End to end: process discovery, bot and agent build, testing, deployment and support.
- 30+ enterprise deployments across five business functions.
Typical entry point
- A 4 to 12 week AI agent and automation engagement: scoped, built and deployed.
- First wave: finance, customer ops, or HR and compliance.
- From a single process to a rollout across the enterprise.
A defined scope, run as a product. We host, run, support and improve it. Service levels, not tickets to chase.
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