Who we help
Two ways companies come to us.
Whether the friction lives in your product or in how the business operates — including a system you inherited — one accountable team stays responsible from opportunity through operation.
Start with our AI agent. Find your next step.
Start where the friction is
AI strategy, product engineering, and managed operations
Two paths, one system.Specialists join as needed, and because intent, decisions and context are written down under CRAFT, they carry forward when people change.
01 — Product
Improve your product — and the system that builds it.
You have a live product and a delivery system that feels slower than it should be. We help you decide which experiences to reimagine rather than merely enhance — then redesign, build, and operate them at product quality.
What this usually looks like
Roadmap pressure, AI-native competitors, slow release cycle, technical debt.
Start with our AI agent. Find your next step.
Explore product capabilities and measures
Given what AI can now do, what should our product become?
Find where AI changes the roadmap
Product opportunity discovery, AI-native experience design, and a roadmap reshaped around what is now feasible and reliable.
Ship safely, at product quality
Architecture, agents, data systems, integrations, and the evaluation infrastructure that keeps AI behavior inside the lines.
Operate and learn
Product telemetry, model evaluation, adoption, cost and latency optimization — a continuous product-learning system.
WHAT WE MEASURE
- ADOPTION
- RETENTION
- TASK SUCCESS
- CYCLE TIME
- COST PER SUCCESSFUL INTERACTION
02 — Operations
Improve how the business operates.
Software may not be what you are buying — it is the infrastructure through which the operating model changes. We redesign the workflow, connect the systems and data underneath it, define what stays human, and operate the new process.
What this usually looks like
Manual coordination, SaaS sprawl, fragmented data, exception volume, spreadsheet workarounds.
Start with our AI agent. Find your next step.
Explore workflow capabilities and measures
Given what AI can now do, what should our operating model become?
Redesign the workflow, not just a step
Workflow discovery, choosing where the biggest value sits, role redesign, and a target operating model — automated, augmented, or deliberately left human.
Build the operating infrastructure
Internal operating systems, agentic workflows, integrations, data and context layers, and decision support — governed from day one.
Sustain the change
Exception management, human escalation, process telemetry, and continuous optimization through InTech Operate.
WHAT WE MEASURE
- CYCLE TIME
- ERROR RATE
- DECISION LATENCY
- THROUGHPUT
- UNIT ECONOMICS
02 — Operations · Inherited systems
Take responsible control of an inherited system.
A critical custom application nobody fully owns. An AI pilot running without governance. An internal tool that outgrew its design. You do not need a transformation pitch — you need someone to take responsible control first.
We accept responsibility only after a Managed Transition Assessment and explicit transition criteria — and we will decline a system that cannot be governed. That honesty is the point.
What this usually looks like
Unclear ownership, fragile integrations, ungoverned AI pilot, missing monitoring or recovery testing.
Start with our AI agent. Find your next step.
How a takeover runs
Who actually owns this system — and can it be governed?
Assess — architecture, technical debt, ownership, documentation, security, and recovery risk.
Stabilize & document — monitoring, runbooks, backups, and observability where there were none.
Accept responsibility — only after defined transition criteria are met, with explicit scope and service objectives.
Operate & improve — reliability, AI governance, and business telemetry under InTech Operate.
Modernize on evidence — operating data drives the modernization and AI roadmap, not guesswork.
Context carries forward. The accountable team that assesses the system remains responsible through transition and operation.
Request a Managed Transition Assessment
Fit Works Both Ways
We'll tell you when not to proceed.
Every opportunity has to survive a few honest questions before we take your money. If the answers say the timing, ownership, or data is not there yet, we will say so — and tell you what would change our mind.
Eight questions we ask before we begin
- Who owns the outcome — and has authority to change the system?
- Is the data accessible and legally usable?
- What is the baseline, and what is the cost of failure?
- Is an operational owner available after launch?
- What must be verified by a human, no matter how good the model gets?
- Can the result be measured within a useful time window?
- What is the smallest production proof?
- What would cause us to recommend not proceeding?
From Friction to Proof
Which path is yours?
Your product or your operations — tell us where the friction is and we'll point you at the right first step.
Start with our AI agent. Find your next step.