Enterprise AI planning

Design AI systems that can be defended.

Classify tasks, route models, forecast cost, and export a Build Kit finance and engineering can inspect.

Start blank

Monthly volume

100,000

support interactions

Deterministic tasks

1/5

kept out of LLM billing

Customer-support optimisation

A live demo project showing routing, budget policy, prompt contracts, and review gates.

Demo

Intake

Problem, users, volume, quality, and budget

Decision spine

Workload category, risk, and deterministic controls

Routing

Task-level execution method and model fallback

Build Kit

Exportable implementation artifacts

Naive baseline

$39,308.23

Demo catalogue pricing

Balanced route

$771.27

Demo catalogue pricing

The model is not the starting point.

Token maxxing is a system-design problem, not a billing surprise. Reactive usage caps arrive after architecture, routing, and prompt choices have already set the cost curve. BuildWise moves cost management into the design itself.

It connects problem complexity to task decomposition, model selection, prompt design, token use, governance, and ROI, then carries the decision trail from the initial idea into an implementation-ready Build Kit.

Token optimization expands the Low-code, Pro-code, and Hybrid journey rather than replacing it.

Deterministic first

Rules, retrieval, and schema checks sit before generation so routine work avoids model spend.

Task-level routing

Every task carries a provider, model, fallback, retry assumption, and human-review gate.

Context budget

Token estimates show instruction, retrieved context, variable input, output allowance, retries, and fallback.

Implementation handoff

The Build Kit exports prompts, routing, policies, evaluation plans, and low-code or pro-code guidance.

One operating blueprint, three delivery paths.

Low-code

65%

Fastest path for governed workflows that can stay inside approved connectors and deterministic controls.

Pro-code

90%

Best path when custom retrieval, evaluation, privacy, or integration control is the primary constraint.

Hybrid

82%

Combines low-code operational surfaces with pro-code intelligence services and policy controls.

Governance posture

5 review gates remain visible before any consequential answer is accepted.

Provider credentials stay out of public-demo exports.

Provider-reported usage is separated from simulated demo evidence.

Fallback policy is explicit before production rollout.

Start from a grounded scenario.

Each sample creates a project with workflow decomposition, scenario economics, prompts, and Build Kit exports.