AI outputs fail outside the happy path
Release delays, customer risk, support load, and lost trust.
Evaluations, guardrails, traces, retries, fallbacks, and human control.
Production AI & Revenue Workflow Systems
Make one critical workflow reliable before it costs you customers, revenue, or a launch.
Topiax fixes the workflows teams cannot afford to leave fragile: LLM, RAG, and agent systems that fail under real use—and lead-to-revenue operations where enquiries, attribution, and follow-up disappear. 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 costly workflow are you trying to make reliable?
Your AI feature works in a demo. Real users expose the failure paths.
Use this path when your LLM, RAG, or agent workflow is hallucinating, failing tool calls, losing state, producing inconsistent outputs, or blocking a release because nobody can prove it is safe to ship.
Explore the AI Reliability SprintYour business pays for leads. Your systems lose them after the click.
Use this path when enquiries disappear between forms, inboxes, WhatsApp, your CRM, sales assignment, and follow-up—or when you cannot trace marketing spend through to booked jobs and revenue.
Explore the Revenue Workflow SprintThe cost of “mostly works”
The expensive failures happen between tools, teams, and edge cases.
Lead source data disappears after the form fill
Paid acquisition cannot be tied to booked work or revenue.
Source capture, lifecycle design, CRM integration, and attribution reporting.
Staff respond too slowly or inconsistently
Hot enquiries go cold and pipeline value becomes invisible.
Routing rules, approval-aware drafts, ownership alerts, and stale-lead recovery.
Existing automations fail silently
Teams reintroduce manual work and nobody knows why.
Error handling, exception queues, monitoring, and operating guidance.
Defined outcomes. No open-ended build theatre.
Choose the smallest intervention that solves the real problem.
AI Architecture Audit
3 business days · From $3,000
Architecture map, risk register, evaluation and observability gaps, and a decision-ready sprint blueprint.
See the Audit PathAI Reliability Sprint
14 days · From $8,000
Evaluations, guardrails, observability, recovery behaviour, release evidence, and handover for one workflow.
See Reliability Sprint ScopeRevenue Systems Diagnostic
3–5 days · From $1,250
Map the lead-to-revenue path, find CRM and attribution gaps, and define the first repair.
See the Diagnostic PathRevenue Attribution & Lead Recovery Sprint
Fixed scope · From $6,000
One lead-to-revenue workflow mapped, connected, controlled, and measured.
See Revenue Workflow ScopeProof 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 LibraryArchitecture 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 ScorecardReadiness 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 CallNot a fit for generic AI brainstorming, prompt-engineering courses, low-budget chatbot requests, or projects without an accountable owner.