Generative AI Solutions

BuildAI.AroundaReviewableWorkflow.

Start with a bounded document or drafting workflow. Agree evaluation cases, human approval, data access and cost per accepted task before expanding automation.

Pilot Inputs to Measure

  • Content writing
    Baseline
  • Document review
    Quality
  • Data entry
    Access
  • Report generation
    Cost
  • Email drafting
    Review
  • Customer responses
    Handoff
Measure value before scaling.
Knowledge worker using AI automation dashboard

Three Decisions Before an AI Pilot

01
Truth 01

Use AI for reviewable drafting or extraction; keep deterministic rules for tasks that need exact outcomes.

02
Truth 02

Compare accepted output against a manual baseline, including review time, mistakes and provider cost.

03
Truth 03

Define who approves sensitive outputs and what happens when the model cannot complete a task.

AI Automation Specific to Your Industry

Illustrative workflows for discovery. Domain experts approve outputs; regulated decisions and autonomous actions are excluded unless separately scoped.

Marketing Use Cases

Blog & SEO Content Generation at scale
Email sequence automation
Social media content calendar automation
Competitor intelligence reports

Our Generative AI Services

From single-task automation to complex multi-agent reasoning systems.

LLM Fine-Tuning & RAG

Connect approved documents with access-filtered retrieval. Evaluate answer support, missing evidence and refusal behavior; RAG does not guarantee correctness.

LLM Fine-Tuning & RAG

Prompt Engineering & Optimization

Version prompts and structured output checks against representative test cases. Validate formats and route uncertain or unsafe outputs for human review.

Prompt Engineering & Optimization

AI Content Pipelines

Build draft pipelines from approved source material. Include brand review, rights checks and explicit approval before publication; autonomous publishing is outside the default pilot.

AI Content Pipelines

Multi-Agent Workflow Systems

Use separate bounded steps only where evaluation supports them. Limit tool permissions, retries and spend; a model reviewing another model is not independent proof of accuracy.

Multi-Agent Workflow Systems

Document Intelligence

Extract agreed fields from permitted sample documents. Test scan quality, field errors and exception queues; require approval before writes to operational records.

Document Intelligence

Voice AI & Conversational Systems

Scope consent, supported languages, transcription quality and a human handoff for voice workflows. Recording, outbound calling and live actions need separate approval.

Voice AI & Conversational Systems

Candidate Tools — Evaluated per Scope

GPT-4o
Claude API
Gemini 1.5 Pro
Llama 3
Mistral 7B
LangChain
LlamaIndex
Semantic Kernel
AutoGen
Pinecone
Weaviate
Qdrant
pgvector
Chroma
AWS Bedrock
Azure OpenAI
Vertex AI
Ollama (private)
n8n
Make.com
Zapier
FastAPI
Scope
One bounded pilot
Test
Agreed evaluation set
Review
Human approval
Cost
Per accepted task

The Path to Automation

Deliverables, exclusions and milestones are agreed after data review; production rollout is a separate acceptance gate.

1

AI Opportunity Audit

Inventory tasks, data rights, reviewers and a manual baseline; exclude unsuitable high-risk decisions.

2

Use Case Prioritization

Choose a bounded pilot using task volume, failure cost, data readiness and cost per accepted task.

3

Model Selection & Prototype

Compare candidate configurations on an agreed evaluation set; record quality, latency and cost.

4

Integration into Your Workflows

Stage integrations with least-privilege accounts, approval gates, rollback and safe failure handling.

5

Monitor, Optimize & Scale

Handover prompts, evaluation results and runbooks; agree monitoring, update ownership and support separately.

Illustrative Workflow Study

Vertex — Sample Document Workflow

Concept only, not a verified client delivery or Google product affiliation. Extract report fields, show source references and queue uncertain entries for analyst approval.

Pilot
Measure Review Time and Errors
AI analytics dashboard on laptop
Baseline
Measure manual effort
Quality
Review accepted output
Budget
Track task cost

Design sample — illustrative quote and attribution, not verified client feedback.

"A useful pilot would show source evidence, flag uncertain fields and leave analysts in control of approval."

SP
Sample Reviewer
Illustrative data-team perspective

Frequently Asked Questions

Choose a bounded, repeatable drafting or extraction task with permitted examples, a manual baseline and an available reviewer. Exact calculations and high-impact decisions may be better handled by rules or humans.

Scope One AI Workflow Before Scaling.

Bring task examples, data constraints and a reviewer. We will agree feasibility and next steps.

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