Agents, RAG, and automations — with guardrails
We add AI where it makes a measurable difference: faster support, booked appointments, richer search, smarter routing, and back-office automations. Safe by design, with approvals, observability, and privacy controls.
- Inbound booking, outbound outreach, and support copilots.
- Retrieval-augmented generation (citations on answers).
- Human-in-the-loop approvals, audit trails, rate/latency budgets.
- US/EU data routing available; DPA-ready.
Outcomes you can measure
−30–60% manual work
Automated tasks and approvals reduce lift.
FR time −50%
Faster first response with triage and suggestions.
Citations on answers
Every response grounded in your content.
Approvals & audit
Human checkpoints with full traceability.
Agent patterns we deploy

Inbound Booking Agent
Answers FAQs, checks calendars, schedules appointments, sends confirmations.

Outbound Sales Agent
Qualifies, sequences outreach, books meetings — TCPA-aware with approvals.

Support Copilot
Suggests replies, summarizes threads, classifies tickets, drafts articles.

Back-office Automations
Document processing, enrichments, routing, and approvals across systems.
Connectors & data sources
We connect to your tools safely and transparently. US/EU routing on request; DPAs available.












Guardrails & reliability
library_books Retrieval with citations
- Answers always point to sources.
- Indexing with freshness & quality checks.
- Fallback prompts for low confidence.
rule_settings Policies & approvals
- Human-in-the-loop by default.
- Risk tiers; auto-approve low risk.
- Audit log on all actions.
shield_lock Privacy & routing
- PII minimization & redaction.
- US/EU data routing on request.
- DPA and retention controls.
speed Budgets & fallbacks
- Latency/timeouts per action.
- Safe fallbacks & retries.
- Graceful degradation.
Evaluation & observability
We measure accuracy, safety, and latency; we trace every step so you can trust outcomes.
How it works
Goals, data sources, constraints, KPIs.
Agent mock + retrieval; approvals mapped.
APIs, webhooks, queues; auth & roles.
Policy rules, budgets, redaction, dashboards.
Monitor, tune prompts/retrieval, ship wins.
Tools we use
smart_toy LLM Orchestration
Composable agents and prompts with versioning.
library_books Retrieval & Vectors
Hybrid search over docs/KBs with freshness.
deployed_code APIs & Webhooks
Idempotent handlers, retries, policy checks.
sync_alt Queues & Jobs
Background tasks with visibility & DLQs.
visibility Observability
Traces, logs, metrics for every action.
checklist Evals & QA
Golden sets & regression gates.
FAQs
security What about data privacy?
We minimize PII, redact as needed, scope access by role, encrypt in transit, and can sign a DPA. US/EU routing available.
rule_settings Are agents fully autonomous?
By default, human-in-the-loop. You may auto-approve low-risk actions with clear policies and audit logs.
payments How do costs stay predictable?
We set rate/latency budgets, cache retrievals, batch where safe, and provide dashboards. Fixed-fee pilots are available.
psychology How do you keep answers accurate?
Retrieval with citations, eval harnesses, source freshness checks, and fallbacks when confidence is low.
handshake Who owns the IP?
You do. On payment completion, project IP is assigned to your company; third-party licenses remain with their owners.


