The Enterprise Reality
Enterprises are caught between ageing estates that consume all engineering bandwidth, AI deployments that proliferate without governance, and a market window that will not stay open forever.
60–80% of IT budgets go to maintenance. VB6, PHP, and ASP systems built before modern cloud infrastructure now block every new initiative — while your competitors ship product.
Agents are being deployed across Bedrock, Azure, and Agentforce with no unified framework. No observability. No SLA accountability. No human oversight where it matters most.
When AI agents are built, run, and governed through a coherent platform with Human-in-the-Loop controls, the business case is transformational — not incremental.
Proof Statement
Other AI tools suggest. Celsior's AI-first Digital Engineering Platform decides, acts, and is accountable. Our agents read your code, draft architecture, generate infrastructure, review each other's work, and ship to your repo — with every decision traceable to evidence and every action gated by the policies your security team wrote. This is not autocomplete. It is a workforce.
Chief Technology Officer Global Financial Services Institution
The Celsior AI Platform
Every gap in your AI delivery lifecycle — from the first Yet Another Markup Language (YAML) blueprint to the production audit trail — is closed by one integrated platform. No stitching. No rip-and-replace.
Build
Agent Development Framework (ADF)
From YAML blueprint to production-ready AI agent — without starting from scratch. The fastest path from concept to governed runtime.
Run
Agent Runtime Platform · AI Control Plane
The platform-agnostic runtime that connects Agentforce, Azure AI, and Bedrock through one fabric. One observability layer. One policy engine.
Govern
Responsible AI Control System
AI moves fast. HALO keeps humans in control of what matters — with Human-in-the-Loop review gates, audit trails, and EU AI Act compliance built in.
Deliver
AI-Powered Software Delivery Accelerator
The outcome layer that ties it all together. Automates the full SDLC — from discovery to deployed artifact — across greenfield, brownfield, and legacy estates.
04 / Agent Workflow
Point agents at a legacy system and walk away. They negotiate the work between themselves, review each other's output, and escalate only when judgment is genuinely required.
A representative reimagine run. Eight handoffs. Two human approvals. Hours, not weeks.
comprehension
Reads 14M lines of VB6 + Terraform + on-prem topology. Builds the cross-domain graph. Tags every component with confidence scores.
strategy
Receives the graph. Drafts target-state architecture, identifies migration risk vectors, proposes wave sequencing.
forecasting
Sizes the program. Generates work breakdown, dependency map, and risk-adjusted timeline against the Architect's plan.
quality
Audits the Architect and Estimator outputs. Flags inconsistencies, sends them back for revision. Two cycles. Resolved.
human gate · HALO
Review the architecture and plan. Approve, revise, or reject. The agents wait. HALO logs the decision for the audit trail.
execution
A pool of generation agents migrates code, IaC, and integrations in parallel waves. Each unit goes through Examiner before merge.
verification
Generates and runs tests against every migrated unit. Coverage above 85% required to advance. Failures route back to the swarm.
governance
Enforces your security, compliance, and code-standard policies. Blocks anything that fails policy. Audit trail recorded for every decision.
05 / Autonomy You Can Tune
Agents are not all-or-nothing. You configure where the human-in-the-loop gates sit — per workflow, per environment, per change class.
First engagement. Regulated change to a tier-zero system. Audit-heavy environments where every action needs sign-off.
Human TouchpointsEvery change. Agents prepare options with full evidence; engineers approve each step.
Most modernization work. Agents draft, generate, review each other, and escalate at architecture, promotion, and policy gates.
Human TouchpointsArchitecture & promotion. Agents handle execution between approvals. Critic and Gatekeeper enforce in-flight.
Continuous evolve operations. Production drift fixes, doc refreshes, low-risk optimization. Agents act; humans see the digest.
Human TouchpointsException & weekly digest. Agents page only when policy demands. Humans see what was done, not every step.
06 / The Agent Team
Specialist agents. One verifiable pipeline. Every decision traceable to evidence.
07 / Across the Estate
Other tools see the repository. Our agents traverse the entire estate — the systems, the wires between them, and the operations that keep them running.
From mainframe COBOL to modern Kotlin, monolithic PHP to event-driven Go. Comprehended at path level, not pattern-matched.
Terraform, CloudFormation, Pulumi, Helm — read as living graphs of dependencies, not flat files. Drift, blast radius, and cost surfaced in one view.
VPCs, peering, firewalls, service meshes. Topology resolved end-to-end so changes ship with traceable upstream and downstream impact.
SOAP to REST to gRPC to event streams. APIs, queues, and webhooks indexed with their callers — so refactors don't break things you forgot existed.
Oracle, DB2, Postgres, Snowflake, Mongo. Schemas, stored procs, and pipelines mapped column-by-column to the code that writes and reads them.
Tribal knowledge captured from incidents, runbooks, and SRE notes — folded into the same graph so operations evolve alongside the code.
08 / Performance, not promises
We optimize for the on-call rotation that has to live with what gets generated.
The competition measures generation. We measure what survives production — latency under load, defect density after deploy, security findings closed at the source, and how long the system runs before it ever needs a human.
What competitors brag about
What we put on the dashboard
09 / The Numbers
Outcomes a typical enterprise modernization program can target with the platform.
Documentation, BRD, and IaC refactor cycles that took quarters can resolve in days.
Time spent on rote comprehension and translation reclaimed for products that move the business.
Compared to traditional consulting-led modernization. Same governance, fraction of the spend.
Agents resolve nine in ten engineering decisions without paging a human. Your team focuses on the one that matters.
10 / Slots into your stack
13 / Why Celsior's AI-First DEP
Suggest. Generate.
Wait for the next prompt.
engineering, grounded in evidence.
Coordinated agents.
Acting. Reviewing. Shipping.
