Discursive Agents
Custom conversational AI that represents your organization the way your best people do — grounded in your data, calibrated to your voice, audited for bias, and monitored for drift for as long as it runs.
Agents built for your domain, not adapted to it
A discursive agent is more than a chatbot with your logo. It is a governed conversational system: retrieval grounded in your documents, guardrails shaped by your policies, and a personality designed — deliberately — to match your brand.
Grounded in Your Knowledge
Retrieval-augmented generation over your documents, program rules, and tariffs — so answers cite your sources instead of inventing their own.
Personality by Design
Tone, register, empathy, and escalation behavior are specified, tested, and versioned like any other requirement — not left to chance.
Governed End to End
Zero-trust integration, prompt sanitization, consent mechanisms, and immutable audit trails on every conversation, per our security architecture.
Bias auditing & agent customization
Deployed agents inherit biases from their training data, their prompts, and their retrieval corpora. We find those biases with the same statistical machinery we use in econometric work — then re-engineer the agent until it meets your standard.
Statistical Bias Probes
Systematic paired-prompt testing across demographic, linguistic, and socioeconomic dimensions, with significance testing — not anecdotes.
Adversarial Red-Teaming
Structured attacks on tone, safety, and policy compliance to surface failure modes before your customers or residents do.
Targeted Customization
Prompt architecture, guardrail tuning, and retrieval curation to correct what audits find — with before/after evidence for every change.
Continuous Re-Audit
Bias checks re-run on every model upgrade and prompt revision, because fairness is a property of a version, not a product.
Pactum — the AI Conversation Quality Engine
Pactum is EcoMetricx's in-house conversation-quality platform: our technical answer to the three hardest problems in production conversational AI — keeping an agent's personality on-brand, checking it for bias, and catching drift before users notice.
- ›Real-time, per-message evaluation with pass/fail verdicts on every response
- ›Conversation-level scoring across five quality dimensions — including Tone & Professionalism and Empathy & Customer Focus. Personality, made measurable.
- ›Multi-tenant QA audits that flag cross-tenant leakage, gaps, and inconsistent treatment across deployments
- ›An automated Prompt Tuner that uses recent evaluation history to rewrite prompts and keep alignment tight — stopping drift at its source
- ›Batch simulation of multi-turn dialogues to stress-test behavior pre-launch
- ›A shared evaluation fabric with optimized routing, so continuous production-scale checks stay fast and affordable
$ pactum evaluate --conversation #48212
tone_professionalism ......... PASS (0.94)
empathy_customer_focus ....... PASS (0.91)
accuracy_grounding ........... PASS (0.97)
bias_probe: demographic ...... PASS
drift vs. baseline v3.2 ...... +2.1% — tuner queued
$ pactum tune --from-history 14d
prompt v3.3 proposed → alignment restored ✓
Agents you can put your name on
Designed to your voice, audited to your values, and watched by Pactum around the clock — so the agent your users talk to in month twelve is the one you approved on day one.
Ready to design your discursive agent?
Start with a scoping session: we'll map your use case, data sources, and quality bar — and show you Pactum running live.