01CLOUD SERVICES · AGENTIC SOLUTIONS FOR LINES OF BUSINESS
Meridian proved the pattern: an agent that retrieves live data, correlates it, and answers with evidence — in production, inside the customer’s boundary. The same discipline now ships custom agents for finance, operations, customer support, and supply chain — on Amazon Bedrock and AgentCore, integrated into the ERP, ITSM, data, and ticketing systems your teams already run.
FINANCE / OPERATIONS / SUPPORT / SUPPLY CHAINDiscovery to production in weeks
Built on Amazon Bedrock & AgentCore — integrated into the systems your teams already run
02WHERE AGENTS EARN THEIR KEEP
The best agent use cases share a shape: a team spending its day retrieving, correlating, and acting on data spread across systems that don’t talk to each other. That is exactly the work agents do well — when they are engineered like production software.
Finance · Line-of-Business Agents
Close-cycle reconciliation support, spend and variance analysis, policy checks on transactions — agents that pull from the ERP and answer the controller’s question with the ledger evidence attached.
Bring us a finance use case →Operations · Line-of-Business Agents
Agents that correlate ITSM records, operational data, and runbooks — so the answer to “what’s blocking this?” takes seconds, with the trail to prove it.
Bring us an operations use case →Customer Support · Line-of-Business Agents
Agents that pull entitlement, history, and product data from the systems of record before drafting the response — and escalate with a complete case file when a human should decide.
Bring us a support use case →Supply Chain · Line-of-Business Agents
Agents that watch orders, inventory, and logistics signals across systems, surface the exceptions that matter, and prepare the corrective action for approval.
Bring us a supply chain use case →03ENGINEERED IN FROM DAY ONE
Evaluation suites define what good looks like before the agent ships — and measure it against the workflow’s real cases before and after every change. Guardrails constrain tools and actions to the scoped workflow: the agent can do its job and nothing else. Every retrieval, reasoning step, and action lands in a trail your auditors can walk, and every action has a reverse gear. The same discipline runs our own platforms in production.
04THE GOVERNANCE FRAME
Before a line-of-business agent acts — in the ERP, the ticketing queue, the supply chain — the action is bound into an execution contract. If any answer is missing, the action does not run.
01 INTENT
Every action is bound to the business workflow scoped in discovery, with an objective the workflow’s owner can read in plain language. No articulable intent, no execution.
02 SCOPE
The ERP, ITSM, data, and ticketing integrations are enumerated before execution. Guardrails constrain tools and actions to the scoped workflow — the agent can do its job and nothing else.
03 IMPACT
Every action the agent can take has a reverse gear — reversibility is a design requirement, not an afterthought. Actions that need judgment escalate to the workflow’s owner.
04 EVIDENCE
Every retrieval, reasoning step, and action is written to a trail your auditors can walk — and agent quality is measured by evaluation suites before and after every change.
Contract identifier and status metadata shown are illustrative. Agents are deployed on Amazon Bedrock inside your AWS account — prompts, retrieved data, and outputs never leave the environment you govern.
05HOW IT SHIPS
Most enterprise GenAI programs stall between the demo and the deployment. Ours don’t, because we are not inventing the architecture per engagement — we are applying patterns that already run our own platforms in production.
01
A working session with the line-of-business team to find the workflow where an agent pays for itself — scored for data availability, action safety, and measurable outcome before anything is built.
02
The agent is engineered on Amazon Bedrock and AgentCore inside your AWS account, with tool integrations into your ERP, ITSM, data, and ticketing stack — scoped to the workflow, nothing more.
03
Evaluation suites define what good looks like before go-live; guardrails, audit, and rollback are load-tested with the workflow’s owners. Production means measured, not hoped.
06QUESTIONS, ANSWERED PLAINLY
07RELATED SERVICES
PLATFORM
The agent pattern in production for cloud teams: plain-English questions, evidence-backed answers in ~5 seconds, read-only by default.
Cloud Services →EXPERTISE
Data, analytics, and GenAI enablement on native AWS services — the foundations line-of-business agents are built on.
Cloud Services →OPERATIONS
Human-plus-agent operations 24×7 — the model your line-of-business agents inherit once they’re live.
Cloud Services →In a use-case discovery session, we’ll score it for agent fit — data availability, action safety, measurable outcome — and show you what the production path looks like, in weeks.
Built on Amazon Bedrock & AgentCore · Deployed inside your boundary · Evaluation, guardrails, audit & rollback by design