
Express Pod. Build Pod. And a Build Pod configured for multiple workstreams.
Pods are the build-and-delivery configurations inside the broader InTech journey. They are not the only way to engage. Most new relationships begin with an assessment, then move into an Express Pod, Build Pod, or InTech Operate based on the evidence.
Pods are configurations inside the journey, not a menu of tiers. Where you enter depends on the evidence in front of us, not on a preset package.
Assessment
The usual starting point. A fixed-scope diagnostic that ends in decisions — an opportunity map, baselines, risk classification, and your first buildable Intent Contract. It is an engagement, not a pod.
Express Pod
One measurable improvement, proven in production. The evidence from the assessment becomes a working result you can point at, with the outcome verified against the baseline you agreed.
Build Pod
Sustained product, integration, and workflow delivery managed against outcomes. Configured for a single stream, or for multiple workstreams when the roadmap outgrows one.
InTech Operate
The system runs, the AI stays governed, and the outcome keeps improving. Operating evidence starts the next cycle rather than ending the relationship.
You can enter at any point. Most new engagements start with an assessment, because it is the fastest way to establish what should change, what it is worth, and how the result will be verified — whether or not you build with us.
One measurable improvement, proven in production.
The Express Pod takes a single, well-defined constraint and turns it into a working improvement running in production. Feasibility, usefulness, adoption, and supportability are demonstrated rather than assumed. It is the shortest honest path from an approved Intent Contract to evidence you can act on.
Your Product Delivery Lead converts the assessment output into an approved Intent Contract — the outcome, the scope, the constraints, and how the result will be verified in production. This is the highest-value stage of the engagement.
Engineers execute against the approved intent under CRAFT governance. AI-assisted where it helps, with Decision Records captured as material tradeoffs are made. Because the inputs are precisely defined, there is no wasted motion.
You use the real thing. Evaluations run against the agreed criteria, and feedback is prioritized against the original intent — refinement stays welcome, scope drift does not.
Deploy, document, and measure. The improvement runs in production and the result is reported against the baseline agreed at the start, alongside a clear recommendation for what should follow.
Sustained product, integration, and workflow delivery managed against outcomes.
The Build Pod is continuous delivery capacity managed against business outcomes rather than ticket throughput. Production architecture, evaluation automation, and operational readiness are part of the work — not a phase bolted on at the end.
Dedicated engineers with continuous availability and domain context that compounds. They participate in discovery, so the people who build the system hear the friction firsthand.
A PDL owns intent, milestones, and the flow of work — keeping engineering effort aligned to the outcome the Intent Contract describes rather than to a queue of feature requests.
QA, DevOps, and UI/UX proportional to delivery capacity: deeper test cycles, managed infrastructure, and sustained design support.
CRAFT runs underneath. Intent Contracts, Decision Records, risk classification, evaluation gates, and telemetry that makes the outcome visible instead of anecdotal.
Service objectives, runbooks, and evaluation suites are built while the system is built — so moving into InTech Operate is a continuation, not a transfer.
The same accountability model, running in parallel.
When the work outgrows a single stream, the Build Pod is configured for multiple workstreams rather than replaced by a different product. More engineers, more parallel delivery, delivery leadership accountable across the streams — and the same CRAFT governance and Time to Verified Value reporting applied to each one.
Multiple dedicated engineers across parallel workstreams, staffed to the shape of the work rather than to a fixed tier.
Product Delivery Leads coordinate across streams — managing dependencies, sequencing, and the places where intent overlaps.
QA, DevOps, and UI/UX scale with delivery capacity across every stream, so parallel work does not outrun the ability to verify it.
One control plane. Intent Contracts, Decision Records, and evaluation gates apply per stream; telemetry rolls up so leadership sees outcomes rather than status reports.
Cross-stream risk, dependency, and priority calls are made in the open, with the same verification standard applied to each workstream.
Two pod configurations and the operating relationship they hand off to. The multi-workstream configuration is a Build Pod, not a separate tier — the Build Pod column describes both.
| Express Pod | Build Pod | InTech Operate | |
|---|---|---|---|
| Purpose | One measurable improvement | Sustained delivery against outcomes | Run, govern, and improve in production |
| Cadence | Weeks | Ongoing | Recurring |
| Typical entry point | After an assessment | After an assessment or an Express Pod | After delivery, or a Managed Transition Assessment |
| Scope of the work | One defined constraint | A roadmap of agreed outcomes | The running system |
| Governance | CRAFT | CRAFT | CRAFT + service objectives |
| Primary metric | Time to Verified Value | Time to Verified Value | Time to Next Verified Improvement |
| Intent Contracts | ✓ | ✓ | ✓ |
| Evaluations | ✓ Release gate | ✓ Automated in delivery | ✓ Continuous |
| Telemetry | ✓ | ✓ | ✓ + quarterly value review |
| Ends with | Proof in production | Delivered outcomes, operationally ready | A continuously improving system |
InTech Operate is an engagement in its own right, not a pod. See how managed operations works.
The configuration changes with the work. The operating system underneath it does not.
Every pod runs the full CRAFT operating system. Intent Contracts define the work, Decision Records capture the tradeoffs, and evaluation gates decide what ships.
A Product Delivery Lead is accountable for the outcome — managing intent, milestones, and the rhythm of delivery across the engagement.
Engineers use AI tooling against well-defined requirements. AI amplifies precision; it does not replace judgment or accountability.
US strategic leadership and integrated Latin American delivery — one team, shared context, overlapping US business hours.
Our primary delivery metric: Time to Verified Value.
Defined at the start of delivery work and reported when the agreed production outcome can be measured.
Most new engagements start with an assessment.
It is a fixed-scope diagnostic that ends in decisions, baselines, and your first buildable Intent Contract — and it tells both of us which pod configuration the evidence actually supports.
If you already know what you need, we're happy to start there.
See all ways to engage · InTech Operate
Or email us directly: hello@intechideas.ai