Get one AI workflow into production, with the evidence to keep it there.
Three fixed-scope engagements. Published pricing, defined deliverables, and no open-ended retainers. Start by measuring what you already have, or by specifying what you want to build.
Your work will be done by an experienced AI engineering team.
At SaiDatta Agentics, every project is executed directly by seasoned AI engineers, cloud architects, and machine learning specialists. We combine deep domain expertise in full-stack development, LLMOps, and agentic systems with rigorous engineering discipline to build secure, production-ready AI solutions.
Hands-On Expertise
No account managers or junior buffers. You interface directly with senior engineers writing the code and architecting your models.
Enterprise Guardrails
Our engineers implement strict deterministic boundaries, robust evaluation harnesses, and full audit logging for compliance.
Rapid & Bounded Delivery
We work in dedicated, sprint-aligned teams focused on fixed-scope deliverables to ensure fast velocity without project creep.
AI Evaluation Audit
You already have an AI system — a copilot, a chatbot, a document pipeline — that works in demos and that nobody has independently measured. We test it: groundedness, factuality, task completion, failure modes under adversarial input, and behaviour drift after model updates.
You receive a comprehensive evaluation report, the exact test harness, baseline metrics, and failure mode documentation to run continuous automated regression tests.
We don't need access to your infrastructure. We evaluate outputs.
Agent Readiness Assessment
We take one workflow you want to automate and answer whether an agent should touch it at all. We map the current process end to end, identify where a deterministic core can carry the logic and where a model genuinely helps, and mark the approval points a reviewer will insist on.
A full technical build specification, complete tool-integration taxonomy, human-in-the-loop workflow map, and metric-backed evaluation criteria.
Production Pilot
We build the agent specified in the assessment and run it against real work alongside your existing process. The logic runs on a deterministic core; the model layer is constrained and cannot execute actions on its own; every decision is logged.
A production-deployed agent on your infrastructure, full audit trails, decision telemetry dashboard, and operational runbook for your internal team.
Built on Deterministic Cores
Modern enterprise AI fails when non-deterministic models control critical execution logic. We build agentic systems where state, business rules, tool access, and permissions are strictly enforced by deterministic code. The model handles language understanding and reasoning within hard boundaries; the core handles execution. Every output is logged, traceable, and regression-tested against your defined criteria.
Outside those three
Most engagements start with one of the offers above. When they don't, the work usually falls into: AI strategy and roadmapping, agentic architecture, enterprise RAG and knowledge systems, data and AI engineering, MLOps and LLMOps, responsible AI and governance, or advisory workshops and team enablement.
If that's what you need, say so directly and we'll scope it.
Tools we work in
Not sure which one?
Start with the Evaluation Audit. If you already have an AI system running, it tells you where it actually stands in three weeks, for a fraction of what you've spent building it — and it costs you no integration work.
If you don't have a system yet, start with the Readiness Assessment instead.