PHASE 01
Operational audit & ROI model
We map each workflow, quantify the manual cost, and rank automation candidates by payback and risk.
ROI feasibility matrix
Intelligent OperationsSenior-led delivery
AI Agents & Autonomous Automation
Autonomous agents and deterministic workflow orchestration that remove manual drag from your highest-value operations.
We design, build, and operate production AI systems: multi-agent workflows, private RAG knowledge engines, and hardened API pipelines. Every agent ships with guardrails, evaluation suites, and human-in-the-loop checkpoints.
- Reclaimed per week
- 35+ hrs
- Workflow uptime
- 99.9%
- Manual triage cost
- -74%
- Discovery to pilot
- 6 wks
Engagement snapshot
- Timeline
- 4-8 weeks to production pilot
- Engagement model
- Fixed-scope sprint or managed retainer
- Core pod
- AI architect, ML engineer, automation QA
- Ownership
- Your code, prompts, and data stay yours
Security and IP terms included
Mutual NDA, DPA support, and full source ownership are standard on every engagement.
Visit the Trust CenterThe Problem
Your team is spending senior hours on work software should own
Document triage, CRM hygiene, invoice reconciliation, and multi-channel support queue into expensive backlogs. Hiring more people scales the cost linearly while the process stays fragmented.
- Manual document intake and validation slow every downstream decision.
- Disconnected CRM, ERP, and messaging tools create duplicate work.
- Generic AI pilots stall because nobody owns guardrails or evaluation.
- Confidence scores and audit trails are missing, so compliance blocks rollout.
Methodology
A tested path from ambiguity to production
Every phase ends with a reviewable artifact so scope, tradeoffs, and progress stay visible.
PHASE 02
Agent and guardrail architecture
We define state machines, retrieval boundaries, tool permissions, and escalation rules before writing production code.
System design document
PHASE 03
Sandbox build & evaluation
A staging agent fleet runs against representative edge cases with automated eval suites and latency budgets.
Live sandbox and eval report
PHASE 04
Production rollout & observability
Zero-downtime release with tracing, cost attribution, drift alerts, and a human-in-the-loop fallback path.
Telemetry dashboards and runbook
Production Stack
Technology selected for fit, not fashion
We stay model and platform agnostic. The stack is chosen for your latency, cost, and compliance constraints.
LangGraph
Agent orchestration
OpenAI / Claude
Reasoning models
Pinecone / pgvector
Private retrieval
FastAPI
Tool execution
PostgreSQL
State and audit logs
n8n
Workflow bridges
Langfuse
LLM observability
Docker
Isolated runtime
Deliverables
What lands in your repository
Production agent fleet
Role-specialized agents with supervisor routing, retries, and deterministic tool contracts.
Private knowledge engine
Chunking, embeddings, hybrid search, and reranking over your approved corpus only.
Guardrail and eval suite
Schema validation, confidence thresholds, PII redaction, and regression tests for every prompt change.
Observability pack
Distributed tracing, token spend attribution, drift alerts, and incident runbooks.
-74%
Manual triage time
8x
Processing capacity
$184k
Annual savings in one case
0.001%
Error rate in production
Frequently Asked Questions
Service FAQs
How do you prevent hallucinations in critical workflows?
Responses are grounded in a private corpus, validated against strict schemas, and scored for confidence. Low-confidence outputs route to a human reviewer rather than guessing.
Where does our data live?
We deploy in your cloud or a private VPC, enforce zero-retention agreements with model providers, and encrypt data in transit and at rest. Data is never reused to train shared models.
Can this integrate with our existing ERP or CRM?
Yes. We build typed API connectors and idempotent webhook bridges with signature validation, exponential backoff, and dead-letter queues for legacy systems.
Adjacent Capabilities
Services that pair with this engagement
Headless Commerce
Sub-second storefronts that convert on mobile, scale through peak traffic, and stay easy for merchandisers to run.
Explore serviceWhatsApp & CRM
Official WhatsApp automation and a unified customer record that turns conversations into pipeline.
Explore serviceCustom Web Platforms
Senior-led product teams that turn ambiguous requirements into secure, maintainable web platforms.
Explore serviceNext Step
Map your first high-ROI automation
Bring one workflow and its current manual cost. We will return a feasibility read, an architecture sketch, and a payback estimate.
What happens after you send the brief
- 1Senior architect reviews scope within 4 business hours.
- 230-minute feasibility call with the engineer who will build it.
- 3Written approach, timeline, and fixed or sprint pricing.