How it works.

The technical model behind base2Services — how agents read your environment, how findings reach your team, and how the service improves with every engagement.

The Agent Fleet

base2Services runs a fleet of focused agents — each solving one specific problem with minimal context. Not one monolithic model. Each agent is a feature. Each feature maps to a specific customer pain point.

IAM permissions analyser
Cost anomaly investigator
PCI scope boundary checker
CI/CD pipeline compliance scanner
IaC drift detector
CloudWatch log pattern classifier
Well-Architected gap reporter

This is not a general-purpose AI pointed at your environment. These are purpose-built agents with 15 years of AWS financial services knowledge encoded into their context.

Two types of context.

Static context is captured during onboarding: your goals, your constraints, the decisions you have made and why, best practices encoded from 15 years of AWS financial services experience. This stops an agent from flagging something as wrong that was built that way deliberately.

Dynamic context is real-time environment state: what is running, what it costs, how it is configured, what changed since last week. This makes the analysis current, not a snapshot.

Together, they produce findings that are specific to your environment — not generic alerts that require investigation to understand.

The Access Layer (Agentic VPN)

Agents access your environment through a controlled, OIDC-authenticated proxy. No long-lived AWS credentials are issued. All access is read-oriented. All actions are auditable.

Agent request → OIDC authentication → Managed proxy → Read-only AWS APIs → Findings

Agents cannot perform destructive actions
Every API call is logged to CloudWatch
Credentials are short-lived and scoped per agent invocation
Your security team can audit every request

This is the answer to the question every financial services CISO will ask: “What access does this have and how do we know what it is doing?”

Delivery channels.

Dashboard — Benchmark score. Finding trends over time. Compliance framework coverage. Designed for the CTO morning review and the risk committee quarterly pack.

GitHub — Agent-generated PRs that look like high-quality code review. Specific file changes, specific reasoning, specific compliance context.

Slack — Findings posted to the team #infra or #security channel. Formatted as a colleague would message, not as an automated alert.

CLI — On-demand checks from the terminal: b2s check --scope pci --since yesterday

Claude Code (MCP) — Infrastructure intelligence surfaced inside the developer AI coding environment. No context switch required.

The Forward Deployed Engineer

The human layer. One dedicated engineer who:

Receives continuous findings from the agent fleet
Proactively engages with specific evidence-based actions
Owns the customer relationship
Identifies when findings indicate a new area of need

Not a helpdesk. Not reactive. The FDE acts before you raise a ticket.

One FDE serves multiple customers because agents do the analytical work. This is how the service scales without headcount growing proportionally.

The Feedback Loop

Every engagement improves the service.

Agent findings → FDE session → gap detection → new agent capability → better findings next week.

The expertise compounds across all customers simultaneously.

Start with an assessment.

base2Services agents deploy into your AWS environment and return a risk-prioritised set of findings — with the WHY explained alongside the WHAT. Fixed price. Specific to your environment. The benchmark score is yours to keep.

Takes days to deploy. Findings back within the week.

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How it works.

The Agent Fleet

Two types of context.

The Access Layer (Agentic VPN)

Delivery channels.

The Forward Deployed Engineer

The Feedback Loop

Start with an assessment.