Autonomous AI workflows that complete multi-step business tasks.
Nash Technology builds agentic AI systems that can research, reason, use tools, update systems, generate outputs, and move business workflows forward with less manual effort from your team.
AI agents that do more than answer questions.
Many business workflows are not simple one-step tasks. They require gathering information, making decisions, checking systems, generating outputs, updating records, and notifying the right people.
We build agentic workflows that combine AI reasoning, tool use, business rules, automation logic, and integrations. These systems can carry out repeatable processes across sales, operations, research, recruiting, reporting, and customer support.
Agentic workflows are designed to take action. They can search, analyze, write, classify, update, route, summarize, and trigger next steps based on your business logic.
Custom autonomous workflows for real business operations.
We design AI agents around the actual steps your team performs manually every day.
Research Agents
Agents that collect information, analyze sources, summarize findings, compare options, and prepare structured research outputs.
Sales Workflow Agents
Automate lead research, qualification, enrichment, CRM updates, outreach drafts, follow-ups, and opportunity tracking.
Operations Agents
Handle internal tasks such as data entry, ticket routing, report generation, document review, and workflow coordination.
Reporting Agents
Pull data from tools, summarize performance, generate reports, highlight issues, and send updates to your team.
Agentic systems for workflows that need intelligence and action.
Lead research and qualification
Research prospects, enrich company data, score leads, summarize opportunities, and update your CRM automatically.
Candidate screening workflows
Review resumes, compare candidates against job requirements, summarize profiles, and route qualified applicants.
Internal task automation
Automate data cleanup, ticket classification, task assignment, document checks, status updates, and internal routing.
Client workflow automation
Build agents for reporting, content operations, SEO workflows, account updates, research, and recurring deliverables.
What your agentic workflow can include.
Break down tasks, follow instructions, evaluate context, and decide the next best action.
Connect agents to APIs, CRMs, calendars, databases, spreadsheets, email tools, and internal systems.
Pull structured information from documents, websites, forms, emails, files, and business systems.
Classify tasks, route requests, assign owners, trigger automations, and send notifications.
Create summaries, reports, emails, briefs, proposals, CRM notes, content drafts, and internal updates.
Add review checkpoints so agents can prepare work while your team controls final decisions.
Build the autonomous workflow your team actually needs.
Workflow starting point
Start the agent from a form submission, CRM update, email, spreadsheet row, webhook, scheduled task, or user request.
AI decision layer
The agent evaluates the task, checks rules, determines required steps, and decides which tools or data sources to use.
Tool execution layer
The workflow searches data, updates systems, generates outputs, sends messages, creates tasks, or routes information.
Human control and optimization
Add approval steps, audit trails, logs, performance checks, fallback rules, and continuous improvements.
How we build your agentic workflow.
Workflow Discovery
We review your current process, tools, inputs, outputs, decision points, team responsibilities, and automation goals.
Agent Design
We map the agent logic, prompts, business rules, tools, handoffs, approval steps, and success criteria.
Workflow Build
We build the agent, connect integrations, configure actions, test edge cases, and validate output quality.
Launch & Optimize
We deploy the workflow, monitor performance, improve prompts, refine logic, and optimize based on usage.
What you receive.
Custom agentic workflow architecture
AI agent logic, prompts, and business rules
Tool, API, CRM, database, or app integrations
Human approval and fallback workflows
Testing with real business scenarios
Launch support and performance optimization