AI agents for operational work
AI agents that eliminate manual reporting, document search, and workflow bottlenecks.
OptiSyn builds practical agents, automations, and command-center dashboards that remove repetitive work from the systems your team already uses. One painful workflow. One working agent. 21 days.
Manual work queue
Friday KPI deck
04h3 owners, 7 files, stale by Monday
Proposal reuse
05hPast performance trapped in folders
Approval routing
06hWaiting in inbox since Tuesday
42
hours saved
18
manual steps removed
9
reports automated
96%
cited answers
Agent activity
reporting.agent
Drafted leadership summary
status: ready
document.agent
Cited 12 source passages
status: review
workflow.agent
Escalated 4 overdue approvals
status: sent
Human-in-the-loop
Sensitive actions stay behind approval gates, logs, access rules, and source citations.
Automation theater
Dashboards should not just display work. They should show agents doing it.
This is the direction: live agent activity, sourced answers, workflow exceptions, and business impact visible in the same operating surface.
operations command center
agent activity, workflow state, and measurable output
31
Reports automated
+12%
8.4K
Documents searched
96% cited
212
Tasks routed
4 escalated
146
Hours returned
this month
workflow throughput
14-day window
document intelligence
RFP Section L
src 02
Past performance
src 03
Security controls
src 04
Pricing notes
src 05
The expensive part
Your dashboard is not the problem. The manual process feeding it is.
The first agent should go where people already lose hours every week: reports, documents, approvals, proposals, finance updates, and sales follow-up.
/01
Manual Reporting
Weekly and monthly reports still depend on Excel exports, copy-paste, screenshots, and people chasing late inputs.
/02
Document Chaos
Contracts, SOPs, proposals, policies, and PDFs are stored somewhere, but trusted answers still require a scavenger hunt.
/03
Workflow Bottlenecks
Intake, approvals, routing, status updates, and follow-up rely on memory, email, and one person who knows the process.
/04
Disconnected AI
Chatbots and copilots are useful, but they do not reduce labor until they are wired into the workflow and measured by outcomes.
Agent jobs
Not generic chatbots. Digital operators with specific jobs.
Each agent is tied to a business role, approved data sources, clear action limits, and a measurable workflow outcome.
/01
Use caseReporting Agent
Pulls data, checks for missing inputs, drafts KPI summaries, and alerts leaders when metrics move.
/02
Use caseDocument Intelligence Agent
Searches policies, contracts, SOPs, PDFs, and SharePoint libraries with source-linked answers.
/03
Use caseWorkflow Agent
Routes requests, creates tasks, escalates overdue items, and keeps operational work moving.
/04
Use caseProposal Agent
Finds reusable past performance, drafts response sections, and supports compliance matrix creation.
/05
Use caseFinance Operations Agent
Summarizes cash, spend, margin, unusual movement, and project profitability from approved sources.
/06
Use caseSales Follow-Up Agent
Finds stale leads, drafts next steps, summarizes customer history, and prevents pipeline leakage.
Research systems
The research is not separate from delivery. It becomes system architecture.
Business-OS, agentic delivery patterns, RAG, knowledge graphs, evaluation loops, and dashboard automation all point to the same product philosophy: intelligence should compound inside the work.
/01
Business-OS
Compounding Wiki
Raw sources are distilled into persistent notes, patterns, maps, and operating memory instead of being re-discovered every chat.
/02
RAG Systems
Cited Retrieval
Agents answer with source references, metadata, permission boundaries, and audit trails for sensitive document workflows.
/03
Runtime
Agent Orchestration
Specialized agents retrieve, reason, draft, route, escalate, and hand off to humans when confidence or policy requires it.
/04
Analytics
Decision Filters
Operational rules, score thresholds, anomaly checks, and feedback loops compress noisy activity into high-signal actions.
Decision record
Every agent needs a traceable record of the decision it is making.
OptiSyn models an Operational Decision Record: a governed decision object that joins evidence, rules, business impact, agent logic, and human review state before work moves forward.
Evidence priority
operational-decision-record.json
A structured decision object the business can inspect, approve, and improve.
Decision
Escalate
Identity
/01Who or what is this?
Customer, vendor, contract, request, project, asset, or workflow object.
Context
/02What governs it?
Relevant agreements, policies, source documents, timelines, and ownership.
Rules
/03What should happen?
Deterministic rules, thresholds, approvals, exceptions, and action limits.
Impact
/04What is at stake?
Revenue, cost, cycle time, risk, margin, SLA, or customer experience.
Logic
/05Why this decision?
Evidence IDs, confidence, agent trace, human review, and audit history.
Core offer
The 21-Day Agent + Operations Intelligence Sprint
A fixed-scope engagement that turns one painful manual process into a working AI agent, automation, dashboard, or document intelligence system.
/01
Workflow Audit
Map the process, systems, people, time cost, and success metric.
/02
Agent Design
Define the agent job, tools, permissions, approval gates, and outputs.
/03
Build
Connect data, documents, rules, dashboards, and automation into one working system.
/04
Launch
Train users, document the workflow, and support the first production handoff.
Sprint starts at
$7,500
If OptiSyn does not ship the agreed working system, the final 50% is not due.
Operating system
The ontology is where agents, data, rules, and business action meet.
Our version maps the objects your business runs on, the evidence agents can trust, the logic they must follow, and the systems where approved work gets completed.
OptiSyn operations ontology
A live map of business objects, agent decisions, evidence, rules, and systems of action.
AI + human teaming
Analytics & Workflows
Agent Automations
Products & Interfaces
decision
Agent Core
Decision object
Data Sources
Logic Sources
Systems of Action
AI + human teaming
+Analytics & Workflows
KPI cockpit
Workflow map
Client report
Agent Automations
Retrieve
Reason
Human gate
Act
Products & Interfaces
Portal
Dashboard
API
Inbox
Decision object
Data Sources
Logic Sources
Systems of Action
Before / after
The same team. Less drag on the work.
| Before OptiSyn | After OptiSyn |
|---|---|
| Reports built manually every week | Reporting agent drafts summaries automatically |
| Documents hard to search | Document agent answers with source references |
| Follow-ups rely on memory | Workflow agent tracks next steps and overdue work |
| Leaders wait days for answers | Command center shows status, exceptions, and impact |
Industries
AI agents for teams where manual work is expensive.
Government Contractors
Proposal agents, capture intelligence, contract search, compliance review, and reporting automation.
Professional Services
Client reporting agents, project status summaries, utilization visibility, and knowledge-base assistants.
Construction + Field Services
Sales follow-up agents, estimate tracking, job profitability views, and field operations command centers.
Regulated Enterprise
Permission-aware document intelligence, audit logs, human approval gates, and governed production AI.
Federal-grade discipline
Access control, logs, source references, approval gates, and measurable outcomes are part of the build, not an afterthought.
Proof posture
Built by operators who understand mission-critical work.
OptiSyn brings veteran-led delivery, federal and regulated environment experience, secure RAG, dashboards, workflow automation, and practical agent systems into one focused build.