13 years enterprise ITSM experience | Fortune 200

From Discovery to Production — Without the Risk

Q: How long does a typical engagement take?

Discovery takes about a week. Build and pilot run 2–4 weeks. Most teams have working agents in production within 4–6 weeks. Optimization and scaling are ongoing — we stay involved as long as you need us.

Q: What if the pilot doesn't hit the KPI targets?

Then you stop. Every pilot has a clear success plan with day-0 baselines, a mid-check at day 14, and a full report-out at day 28. If the numbers don't support scaling, you walk away with no long-term commitment. We stage-gate every engagement.

Q: What systems can you integrate with?

We build on your existing stack. Common integrations include ServiceNow, Salesforce, Microsoft Teams, Slack, Jira, Splunk, Dynatrace, PagerDuty, Okta, Active Directory, Zendesk, HubSpot, Datadog, and Azure Monitor. If it has an API, we can connect to it.

Q: Do we need to provide training data?

Not in the traditional sense. Our RAG pipelines ingest your existing knowledge — docs, runbooks, past tickets, SOPs, Confluence pages — and use that as the grounding layer for agent responses. We handle the indexing, chunking, and search optimization.

Q: What about security and compliance?

Security is architectural, not an add-on. Every engagement includes role-based access controls, audit logging, confidence thresholds with human-in-the-loop escalation, and data governance policies. We support VPC deployment and data residency options for regulated workloads.

Q: What does the handoff look like?

You get source-controlled artifacts (prompts, schemas, policies), operational runbooks, observability dashboards, and a variance plan. We train your admins on monitoring, secret rotation, and change management. We train your operators on testing, rollback, and safe expansion to new use cases and channels.

Q: Can you work with our existing AI/ML team?

Absolutely. We often work alongside internal teams — we can own the full build or augment your team with our ITSM domain expertise and agent architecture experience. We flex to whatever model works best for your organization.

We don't hand you a platform and wish you luck. We embed with your team, build agents tailored to your operations, and stay until the KPIs prove it's working. Every engagement follows the same battle-tested process — whether it's your first AI agent or your fifteenth.

Book a Discovery Call

Our Battle-Tested Process

1

Discover

Week 1

We start by learning your operations from the inside — your systems, your workflows, your pain points, and the things that keep your team up at night. We identify the highest-impact use cases for AI agents, map your integration landscape, and define what success looks like in hard numbers.

Stakeholder interviews and workflow mapping
Systems audit — ITSM, CRM, monitoring, collaboration tools
Identify 3–5 high-impact AI agent use cases
Define success metrics (MTTR, deflection rate, AHT, CSAT, etc.)
Risk and governance assessment — data residency, compliance requirements
Document integration requirements and API landscape

Output: Scope brief with baseline metrics, prioritized use cases, risk register, and a 4-week pilot plan with clear KPI targets and exit criteria.

2

Build

Weeks 2–4

We build production-grade AI agents integrated with your existing stack — not a demo, not a proof of concept, but working agents with guardrails, audit trails, and human-in-the-loop controls from day one. We pilot in a controlled environment so your team can validate outcomes without disrupting production.

Agent architecture design and orchestration layer
RAG pipeline — knowledge ingestion, chunking, hybrid search, re-ranking
Tool connectors — secure read/write to your systems (ServiceNow, Salesforce, Teams, Jira, etc.)
Guardrails — RBAC, confidence thresholds, approval workflows
Evaluation harness and golden test sets for accuracy and grounding
Observability — traces, logs, and audit trails for every agent action
Controlled pilot deployment in a limited channel or team

Output: Working AI agents deployed in a pilot environment, integrated with your systems, with full observability and audit logging active.

3

Launch & Optimize

Weeks 4+

Once the pilot validates results, we optimize and scale. Weekly tuning of prompts, tools, and policies. We expand coverage to new use cases, teams, and channels — but only when the data supports it. You get transparent reporting every step of the way.

Weekly KPI review and performance tuning
Prompt and policy optimization based on real interaction data
Expand intent coverage and add new agent skills
A/B test confidence thresholds and escalation logic
Harden security controls as scope increases
Scale to additional teams, channels, and languages
Version control for prompts and playbooks with release notes

Output: Scaled production deployment with ongoing optimization, change control documentation, runbooks, dashboards, and a full handoff package for your team.

Why Teams Choose SectorFlow

We've Been in Your Shoes

We didn't learn enterprise IT from a sales deck. We ran service operations for Eli Lilly — a Fortune 200 pharmaceutical company — for 13 years. We've lived through the outages, the audit cycles, and the 2am escalations. That experience is baked into every agent we build.

Pilot-First, Always

We don't ask you to sign a 12-month contract on faith. Every engagement starts with a 4-week pilot tied to measurable KPIs. If the numbers don't hold up, you walk away. We believe in earning the next phase, not selling it.

Your Stack, Your Rules

We build on the tools you already use — ServiceNow, Salesforce, Teams, Slack, Jira, Splunk. We don't force you onto a new platform or require you to rip and replace. Our agents work inside your ecosystem, not alongside it.

No Black Boxes

Every agent action is logged, traceable, and auditable. You see exactly what the agent did, why it did it, and what data it accessed. Guardrails, confidence thresholds, and human-in-the-loop controls are architectural decisions, not afterthoughts.

Security & Governance — Standard in Every Project

Role-Based Access Controls

Full Audit Trails

Human-in-the-Loop

Real-Time Observability

VPC Deployment Available

What You Walk Away With

Working AI Agents

Production-grade agents deployed and integrated with your stack

Pilot Report

KPI baselines, results, deltas, and go/no-go recommendation

Observability Dashboards

Real-time monitoring of agent performance, usage, and escalations

Audit Logs

Complete trace of every agent action, decision, and data access

Runbooks & Documentation

Operational guides for your team to manage, tune, and expand agents

Change Control Package

Versioned prompts, playbooks, schemas, and release notes

Handoff Training

Admin training on observability, secret rotation, testing, and safe expansion

Common Questions

How long does a typical engagement take?

What if the pilot doesn't hit the KPI targets?

What systems can you integrate with?

Do we need to provide training data?

What about security and compliance?

What does the handoff look like?

Can you work with our existing AI/ML team?

Let's Start with a Conversation

Book a 30-minute discovery call. We'll learn about your operations, identify your highest-impact use cases, and show you what a pilot would look like — no commitment required.

Book a Discovery Call