Agentic AI
How we automated 60% of a Fortune 500's operations using multi-agent AI — saving $4M annually.
- Agentic AI team
- 14 weeks
- 8 engineers
- Live in production
Ops automated
0
%
Annual savings
$
0
M
To production
0
Wks
Hours saved/month
0
+
The challenge
A 10,000-person ops team spending 70% of their time on tasks machines should be doing.
A Fortune 500 global manufacturer had grown through acquisition. The result: 14 disconnected systems, 280+ manual workflows, and a team drowning in routine decision-making.
Previous attempts — RPA and offshore outsourcing — both failed. They needed something that could reason and adapt, not follow rigid scripts.
Key pain points :
- 14 disconnected systems, no shared data layer
- 280+ workflows requiring manual sign-off
- 3-day average decision turnaround
- RPA failing 40% of the time after UI updates
Project details :
Industry
Manufacturing
Client
Fortune 500
Duration
14 weeks
Team
8 engineers
Status
Live
Technology stack
- GPT-4
- AWS
- LangChain
- Airflow
- Kubernetes
- Pinecone
Our solution
6 specialised agents. 1 orchestration layer. 14 systems unified.
We built a network of domain-specific AI agents — procurement, logistics, HR, finance, compliance, reporting — each with defined scope, confidence thresholds, and human escalation paths.
Build process :
Workflow mapping (weeks 1–2)
Mapped 280+ workflows, scored by ROI, identified the top 40 delivering 80% of value.
→ Prioritised workflow map + ROI model
Agent architecture ( weeks 3–6)
Built unified API layer, designed 6 specialised agents with escalation paths.
→ Agent architecture + integration specs
Shadow mode testing (weeks 7–11)
Ran agents against 50,000 historical decisions. Reached 94% accuracy before going live.
→ Accuracy report + go-live sign-off
Phased rollout (weeks 12–14)
One department at a time, human-in-the-loop for 2 weeks, then full autonomy after zero-error baseline.
→ Live autonomous system + runbooks
The results
14 weeks. Zero disruption. Transformational outcomes.
60%
Workflows automated
$4M
Annual savings
3d → 4min
Decision time
94%
Agent accuracy
Why clients trust us
We'd tried RPA and offshore teams. Nothing lasted. Benthon built something that actually reasons about our business — flawlessly for eight months. ROI was visible within 30 days.
John Doe
Product Manager, Indyfin
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