Workflow Playbook
AI agents & automation mapped to eslsoft.ai
Agent workflows reason and produce artifacts; automations move outcomes through your stack. Most production flows use both.
How to read this playbook
- Agent workflow
- LLM-driven flow that plans, calls tools, and produces an outcome.
- Automation
- Deterministic steps on a trigger (CRM, Slack, calendar, alerts).
Principles
Visitor-first
Public demos prove capability; they do not replace a discovery call.
Human-in-the-loop
Outbound email and proposals are drafted by agents, sent by people, until promoted.
Data minimization
Collect only what each workflow needs; publish retention and opt-out on any demo that stores input.
12 workflows have example slots ready — expand any card to preview what we will ship next.
Hero
Visitors land cold; qualify intent fast without forcing a form.
Goal: Route to the right capability and prove agentic work early.
AI Solutions
Strategy, design, and production deployment of AI tailored to your domain.
Agentic AI
Autonomous agents that plan, use tools, and execute multi-step tasks safely.
Business Workflow Solutions
Map, automate, and orchestrate processes across teams and systems.
Data Strategy
A practical 12–24 month plan your leadership can fund and execute.
Data Science & ML
Predictive models, forecasting, segmentation, NLP, and computer vision.
Data Engineering
Pipelines, lakehouses, streaming, and quality frameworks built to scale.
Custom Application Development
Web, mobile, and internal tools — AI-native where it matters.
Big Data Solutions
Petabyte-scale processing, real-time analytics, and cloud-native platforms.
How we work
Internal engine behind Discover → Design → Deliver → Operate.
Contact
Highest intent on the site: fast response and rich context for the first call.
Cross-cutting
Workflows that run across the whole site.
Recommended build order
Scope each as a one-week spike or a six-week pilot, using the same Discover → Design → Deliver → Operate cadence on the homepage.
- 1
Concierge agent + lead intelligence (hero)
Conversion lift and public proof of agentic capability
Effort M · Impact High
- 2
Data maturity diagnostic
Low build cost; strong qualification artifact for sales
Effort S · Impact High
- 3
Contact triage + instant acknowledgment
Honors response-time promise; builds on live Resend path
Effort S · Impact High
Trust & data
Publish near any live demo on the site.
- Explain what is stored, for how long, and who can access it.
- Default: no use of visitor content for model training.
- Upload demos: size limits, virus scan, and sample-data fallback.
- Enrichment: disclose third-party data; honor opt-out where required.
Want this built for your stack?
We design agent workflows and the automations around them — the same way we build them for clients.