AI Integration & Automation

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.
AI agent orchestration and data flows

Outcomes you can measure

timelapse

−30–60% manual work

Automated tasks and approvals reduce lift.

support_agent

FR time −50%

Faster first response with triage and suggestions.

library_books

Citations on answers

Every response grounded in your content.

rule_settings

Approvals & audit

Human checkpoints with full traceability.

Core Web Vitals WCAG 2.2 AA DPA-ready Security headers

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.

Accuracy Eval sets with pass/fail & graded scoring.
Safety Policy checks; redaction; risk tiers.
Latency Budgets per action; dashboards & alerts.
Feedback loop Thumbs & comments improve prompts/retrieval.

How it works

1Discover

Goals, data sources, constraints, KPIs.

2Prototype

Agent mock + retrieval; approvals mapped.

3Integrate

APIs, webhooks, queues; auth & roles.

4Evals & guardrails

Policy rules, budgets, redaction, dashboards.

5Launch & improve

Monitor, tune prompts/retrieval, ship wins.

Tools we use

smart_toy LLM Orchestration

Composable agents and prompts with versioning.

AgentsPrompt libsPlaybooks

library_books Retrieval & Vectors

Hybrid search over docs/KBs with freshness.

RAGEmbeddingsHybrid search

deployed_code APIs & Webhooks

Idempotent handlers, retries, policy checks.

RESTGraphQLEvent bus

sync_alt Queues & Jobs

Background tasks with visibility & DLQs.

WorkersRetriesDLQ

visibility Observability

Traces, logs, metrics for every action.

OpenTelemetryDashboardsAlerts

checklist Evals & QA

Golden sets & regression gates.

AccuracySafetyLatency

FAQs

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.

Are agents fully autonomous?

By default, human-in-the-loop. You may auto-approve low-risk actions with clear policies and audit logs.

How do costs stay predictable?

We set rate/latency budgets, cache retrievals, batch where safe, and provide dashboards. Fixed-fee pilots are available.

How do you keep answers accurate?

Retrieval with citations, eval harnesses, source freshness checks, and fallbacks when confidence is low.

Who owns the IP?

You do. On payment completion, project IP is assigned to your company; third-party licenses remain with their owners.

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