Services · 03
Agents, workflows and control towers that run inside the enterprise.
For enterprises and GCCs putting AI into production. We take priority workflows into production inside ERP, documents, operational data and the controls already there, governed and measured.
Agents and workflows: voice, email and document agents with approval points and audit trails. Operations AI: control towers, prediction and QC for plants and supply chains. Knowledge systems: answers with sources over documents and data, with permissions that hold.
Integration with SAP, planning systems, historians, CRMs and document estates. Permission-aware retrieval and role-scoped knowledge. Deterministic rules in code, model judgement only where needed, human approval before money moves. Evaluation sets agreed with the business. Private or edge deployment where data must not leave. Cost ceilings enforced per run.
Maruti Suzuki voice agent, 72% contact rate. Bosch India invoice intelligence, 99% accuracy. UltraTech performance system, 20,000 employees, zero egress. Executive knowledge agents over hundreds of gigabytes of documents (unnamed). Manufacturing control-tower programme (capability).
Production readiness assessment. One initiative across architecture, data, evaluation, security, operations and total cost. Ends in scale, redesign or stop.
Most engagements continue as a dedicated team, embedded with yours, on time and materials.Productionize a use caseHow we propose
What you receive before you commit.
Every first step produces the documents an enterprise needs to decide, in a form your architecture, security and procurement teams can review without a meeting.
Business requirements document
the workflow, the baseline, the owner, the measure of success
Approach and architecture
systems touched, data flows, model choices, approval points, deployment topology
Technical proposal
scope, phases, team, assumptions, what is in and what is out
Security controls
identity, perimeter, egress, logging, the questionnaire answered
Infrastructure bill of materials and TCO
what it runs on, what it costs to run
Model cost estimate
tokens, runs, ceilings, and the levers that change them
Delivery plan
sprints, milestones, decisions, and the date you see the first working slice
Every first step produces these, in a form your architecture, security and procurement teams can review without a meeting.
Start with one question →Questions buyers ask
Before you call.
Plain answers to what buyers ask first.
- Can it run inside our perimeter?
- Yes: on-premises or private cloud, on an Edge Cluster with zero data egress where required.
- How do you stop an agent doing something it should not?
- Tool contracts, approval gates and cost ceilings are enforced by the runtime, not by the prompt.
- What about our existing hyperscaler investment?
- We build on it; Azure AI Foundry, Vertex and Bedrock are routes, not conditions.
The other five services.
AI product engineering
AI-native products and AI features, from discovery to scale. Product thinking, experience design and full-stack delivery with the model as one component.
First step · AI product opportunity sprint
Product engineering
New products and platforms on web, mobile and cloud: .NET, Python, Node, React, native mobile. Eighteen years of shipping, now with AI in every team's toolchain.
First step · Discovery and architecture sprint
Data and knowledge engineering for AI
Pipelines, ontologies and knowledge graphs, permission-aware retrieval and edge deployment, so the enterprise's own data can answer questions and drive agents.
First step · Data readiness review
AI production engineering
Evaluation sets, LLMOps, security controls, observability and cost ceilings: the discipline that keeps an AI system trustworthy after launch.
First step · Architecture review
Modernization with AI
CodeFlo-led migration of existing applications, one reviewable slice at a time, then AI-enablement of what you keep.
First step · Modernization assessmentWhat's next
What needs to work in your world?
A product, a workflow, a knowledge base, a platform that needs to change. Bring the problem. We will work through the engineering and tell you plainly whether it is worth building.
