High-Ticket AI Consulting & Engineering

Move past simple ChatGPT wrappers and vibe-coded prototypes.

Topiax delivers deep architectural integration, production risk mitigation, and aggressive security audits for businesses relying on AI. We define one problem, build the controls around it, and leave your team with evidence it works.

Fixed scope · Senior technical delivery · Clear handover · No generic “AI transformation” engagements

topiax / workflow trace
INPUTCustomer asks about a policy exception
RETRIEVALEvidence quality below threshold
CONTROLEscalate for human review
EVALUATIONExpected action verified
Release decision: safe to ship with a controlled fallback.

Start with the failure, not the tool.

Which operational risk are you trying to mitigate?

The cost of “mostly works”

The expensive failures happen between tools, teams, and edge cases.

01

Teams drown in manual data processing

Expensive staff waste hours on repetitive handoffs and manual data synthesis.

Deep architectural integration of secure, multi-agent workflows directly into your CRM/ERP.
02

AI agents fail in real-world edge cases

Features stall in beta because leadership fears hallucinations or reputational damage.

Strict evaluations, guardrails, traces, retries, and explicit human-in-the-loop controls.
03

Vibe-coded apps leak credentials and data

AI-generated code ships fast but introduces silent OWASP vulnerabilities and exposed secrets.

Aggressive security audits targeting MCPs, row-level security, and open data paths.

Defined outcomes. No open-ended build theatre.

Choose the smallest intervention that solves the real problem.

Proof over promises

A system is not trustworthy because it looks impressive in a demo.

Topiax makes the operating layer visible: what enters the workflow, what rules decide, where confidence falls, which actions require approval, how failures recover, and how the team knows a change actually improved the result.

Explore the Proof Library

Architecture maps

Make the actual data, decision, integration, and failure paths visible.

Release evidence

Test representative behaviour before it reaches customers or operations.

Operational controls

Use deterministic rules, review queues, logs, alerts, retries, and fallbacks.

Production readiness

Is your AI system ready for real users—not just a strong demo?

Take the 10-minute AI Production Readiness Scorecard to identify gaps in evaluation, retrieval quality, tool calls, state, observability, human control, and rollback readiness.

Get the AI Production Readiness Scorecard

Readiness scan

1Reliability
2Evaluation
3Observability
4Human control

A clear engagement before code changes hands

Diagnose the failure. Scope one intervention. Leave durable evidence.

01

Establish the business cost

Identify what is failing, the consequence, the decision-maker, the constraints, and the smallest milestone worth paying for.

02

Work in the real workflow

Inspect the actual process, integrations, data paths, decision points, and failure states—not a slide-deck version.

03

Build controls and proof

Implement the intervention and hand over the tests, traces, rules, operating guidance, and next priorities.

Bring the workflow that cannot stay fragile.

If there is a real operational or product risk, a decision-maker, and a defined first milestone, we will tell you whether a Topiax diagnostic or sprint is the right next move.

Book a 30-Minute Fit Call

Not a fit for generic AI brainstorming, prompt-engineering courses, low-budget chatbot requests, or projects without an accountable owner.