02

AI products and features

Embedded copilots and intelligent search

Put grounded assistance inside the product context where users already inspect, decide, and act.

Primary buyer: SaaS product and engineering teams
01Primary buyerSaaS product and engineering teams
02Target outcomeFaster task completion without a disconnected generic chatbot
03Useful starting pointA high-frequency product task, permission model, knowledge sources, and current completion baseline.
01

The real constraint

The feature must create user value while containing model latency, cost, failure, and product risk.

02

How we approach it

We design the user decision, model boundary, evaluation, application surface, and rollout as one product system.

03

How we prove it

A paid prototype measures user completion, model quality, latency, cost, and recovery before production scope.

Production system

AI products and features

Intelligence embedded in a useful product workflow, not isolated behind a chat box.

  • 01Product and workflow discovery
  • 02Model and tool orchestration
  • 03Evaluation and failure handling
  • 04Application UX and permissions
  • 05Deployment, telemetry, and rollout

Typical fit

Faster task completion without a disconnected generic chatbot

IndustriesSoftware / SaaSProfessional servicesEnterprise teams
TechnologyLLMRAGProduct engineering

FAQ

Questions before a pilot

01Do we need perfect data before starting?

No. Discovery establishes whether representative data exists, what quality gaps matter, and the cheapest evidence needed before a production promise.

02Can Tandemora own the complete implementation?

Yes. Scope can include product interface, models, data, cloud, integrations, observability, deployment, and handover, with specialists added when the system requires them.

03How is pricing determined?

Uncertain work begins with a bounded paid discovery or pilot. Production is priced after evidence clarifies data, integration, quality, operations, and ownership.

Service focus

AI Copilot and Intelligent Search Development

Build an in-product AI copilot or intelligent search experience with grounded answers, permissions, source evidence, and useful actions.

Built for
SaaS product and engineering teams
Designed to achieve
Faster task completion without a disconnected generic chatbot

Related delivery scope

  • in-app AI assistant development
  • enterprise AI search development
  • RAG search integration
  • semantic search development

Need a different system?

Not quite your solution?

Explore nearby systems or bring the outcome, workflow, and constraints that do not fit a predefined category. Tandemora can scope a custom solution around the real operating problem.

Your version will have different constraints.

Bring the workflow, current system, available evidence, and the assumption you trust least. We will identify the smallest useful next step.

Discuss this system