How Descasio built an autonomous multi-agent orchestration system on AWS that eliminated manual project coordination and streamlined end-to-end installation management, enabling TooNotch Solutions to scale operations without scaling headcount.
| 4 Specialised AI Agents Each has distinct functions | 4 Specialised AI Agents Each with distinct functions | Zero Manual Scheduling Fully automated assignments |
The Challenge Manual Scheduling Fragmented Resource Visibility Reactive Customer Communication
The Solution Multi-Agent Orchestration on Amazon Bedrock Real-Time Shared State via DynamoDB Autonomous Customer Notifications via SNS
The engagement gave TooNotch Solutions a fully autonomous project coordination layer — one that eliminated manual scheduling, verified inventory before every dispatch, and kept customers informed at every milestone, without a single person touching the workflow.
100% Autonomous project coordination 4 Specialised AI agents working in concert Zero Manual scheduling interventions
A Company Outgrowing Its Own Systems
TooNotch Solutions didn’t have a technology problem. It had a growth problem, the good kind, and the kind that quietly becomes the bad kind if nothing changes.
As one of West Africa’s leading renewable energy and security systems providers, TooNotch had built a reputation on doing hard, technical work well: solar power installations, inverter systems, battery banks, solar street lighting, CCTV surveillance, deployed by certified technicians for everyone from private homes to hospitals, hotels, and government facilities.
But every new client, every new region, every new project added a little more weight to a coordination process that was already carrying more than it was built for.
When Growth Becomes a Ceiling
Here’s what that weight looked like in practice.
Every technician assignment depended on someone remembering who was free, who was closest, and who had the right skill set — a judgment call made under pressure, not a system decision. Every dispatch carried a hidden risk: had anyone actually confirmed the materials were on-site before a technician made the trip? Too often, no. And every customer waiting on a status update was, in effect, waiting on whoever on the ops team had a free minute to make the call.
None of this was anyone’s failure. It was simply what manual coordination looks like once volume outpaces capacity. Scheduling conflicts crept in. Updates slipped. Prioritisation became a matter of who was in the room, not what the job actually needed.
TooNotch wasn’t short on demand. It was short on a system that could keep pace with it.
Building a System That Never Sleeps
Descasio, an AWS Partner, set out to solve this with an idea that went beyond simple automation: what if the coordination function wasn’t run by one system following rules, but by a team , a team of specialised AI agents, each an expert in one part of the job, working together the way a well-run operations desk would, minus the bottlenecks.
The result was a Multi-Agent Delivery Orchestration System on AWS, built to manage a project’s entire journey , from the moment a request comes in to the moment the job is closed , with no human intervention required at any stage.
Meet the Four Agents
The Scheduling Agent is the system’s calendar-keeper , except it never gets overwhelmed. It reads job priority and geography, sequences concurrent projects, and resolves conflicts before they ever reach a technician’s inbox.
The Technician Assignment Agent replaces gut-feel dispatching with something more rigorous: proximity, specialisation, and current workload, weighed automatically, every time. The best-suited technician gets the job , not just the one who happened to be reachable.
The Inventory Check Agent stands guard at the door. No technician is sent to a site until the system has confirmed, with certainty, that every required material and piece of equipment is already in place. One of the most common causes of project delay , the wasted trip , simply stops happening.
The Customer Update Agent takes on the job nobody has time for: keeping people informed. It fires off real-time status notifications at every defined milestone, so customers always know where their project stands, without anyone on the ops team having to stop and write an update.
Four agents. Four jobs. One coordinated system.
The Engine Room: How It Actually Works
Underneath the four agents sits an AWS architecture built for speed, consistency, and scale.
Amazon Bedrock Agents provides the orchestration layer , the reason four independent agents can reason on their own, use the right tools for their function, and still hand off work to each other in a coordinated pipeline rather than four systems talking past one another.
Amazon DynamoDB is the shared memory all four agents draw from , job records, technician availability, inventory status, notification history , updated in milliseconds, so every agent is always working from the same up-to-the-moment picture of every active project.
AWS Lambda runs the actual logic behind the scenes: scheduling calculations, routing decisions, notification dispatch , serverless, so the system scales up and down with demand instead of sitting on idle infrastructure.
Amazon S3 holds the paper trail , every project’s data and documentation, from first request to final sign-off, fully auditable.
Amazon SNS is what makes the Customer Update Agent’s promises real, delivering every notification reliably and at scale, across every active engagement.
What Changed on the Ground
The clearest sign the system worked isn’t a technical one , it’s that TooNotch can now take on more work without adding more people to manage it.
Scheduling, inventory verification, and customer communication now happen the moment a request lands, with no manual handoff slowing things down. Technicians get matched to jobs based on hard data , proximity, availability, skill , instead of whoever was easiest to reach. And customers, instead of wondering where things stand, get told automatically, at every step, without anyone having to remember to tell them.
Because DynamoDB keeps a live, shared view of every project, the system doesn’t just execute a plan , it adjusts one, in real time, whenever a technician’s availability shifts or a job’s priority changes, without anything grinding to a halt.
What used to be a ceiling on how much TooNotch could take on has become a capability that scales with them.
Key AWS Services Deployed
| AWS Service | Role in the Solution |
| Amazon Bedrock Agents | Provides the multi-agent orchestration framework enabling all four specialised agents to reason, plan, invoke tools, and collaborate through coordinated handoffs without human intervention. |
| Amazon DynamoDB | Serves as the shared, stateful data layer across all four agents, storing job records, technician availability, inventory status, and notification history with millisecond-latency access. |
| AWS Lambda | Executes all tool integrations invoked by the agents, including scheduling calculations, proximity-based routing logic, inventory queries, and notification dispatch coordination. |
| Amazon S3 | Provides persistent storage for all project documentation, job records, installation reports, and historical engagement data throughout the project lifecycle. |
| Amazon SNS | Powers the customer notification pipeline, ensuring reliable and timely delivery of project status updates across all active jobs at every defined workflow milestone. |
Why This Matters Beyond TooNotch
What happened at TooNotch is small-scale proof of a much bigger idea: that AI agents, each narrow and specialized, can be combined into something that behaves like an entire operations team , always on, always consistent, always aware of what the others are doing.
For any business built around juggling concurrent, resource-heavy projects , renewable energy, construction, field services, and beyond , this is the shift worth paying attention to: from reactive, manual coordination to a system that runs itself, at whatever scale the business needs it to.
About Descasio
Descasio is a leading AI, cloud solutions, automation and technology consultancy company, with a mission to help African businesses unlock the power of modern technology. As an AWS Advanced Consulting Partner, Descasio specialises in designing, deploying, and managing cloud-native solutions that drive measurable business outcomes for organisations across financial services, energy, retail, healthcare, and the public sector.
In line with our pursuit to continue to create innovative & creative technological solutions for our customers, we have engineered and deployed production-grade artificial intelligence solutions that directly solve complex operational challenges for our customers, using the full AWS AI and analytics stack; from natural language interfaces and serverless data pipelines to autonomous multi-agent orchestration systems.