open files, update systems, run steps, hand off to humans when needed

ship outcomes (“the invoice is reconciled”) instead of outputs (“here’s a draft”)

Vertical teams with repeatable processes: accounting close, HR onboarding, procurement, compliance ops, lab reporting, grant writing, claims handling.

You sell ROI, not “AI magic”: “We cut cycle time from 5 days to 1.”

Pick a niche where the data + tools are already structured (a common SaaS stack).

Promise one metric: hours saved / errors reduced / revenue recovered.

“CloseBot” for accountants: pulls statements, matches transactions, flags anomalies, drafts journal entries.

“ClinicOps Agent”: patient intake → documentation → billing codes (with approvals).

“AI firewall” for enterprises: prompt + tool-use monitoring, data leakage prevention, policy enforcement

Agent identity + permissions (“non-human identity management”)

Audit trails + model/cards + governance workflows for regulated teams

Start with one compliance pain: finance, healthcare, insurance, public sector.

Make it boring and inevitable: logs, permissions, approvals, retention, red-teaming.

“Agent Access Manager”: least-privilege permissions for tools (Drive/Jira/Salesforce) + approval gates.

“EU AI Act Pack”: controls + documentation generator + monitoring templates aligned to obligations.

Creative output is exploding, but teams still need:

• brand consistency

• variant testing at scale

• approvals + rights + safety

• performance feedback loops

Don’t sell “video generation.”

Sell “performance creative system”: generate → test → learn → iterate.

“Shorts Studio for SMBs”: generates 30 variants/week from product photos + reviews + offers; auto-posts; learns from retention.

“AdOps Copilot”: turns one creative brief into multi-platform ad packs + compliance checks.

Edge AI for:

• field work (inspection, maintenance, utilities)

• clinics/labs

• factories/warehouses

• any workflow with spotty connectivity

Pick use cases where “good enough locally” beats “perfect but slow/risky.”

“Offline Inspector”: photo → checklist → report, runs on rugged devices, syncs when online.

“Local Research Assistant” for legal/medical: secure doc Q&A on-prem.

Agent orchestration (routing, tool selection, handoffs)

Evaluation harnesses (quality, hallucination risk, regression testing)

Observability (cost, latency, failure modes, data exposure)

“AI budget control”: kill waste, pick the cheapest model that meets the bar

Sell to AI leaders who are tired of chaos:

• “We reduced AI spend 30%”

• “We prevented bad outputs from reaching customers”

• “We standardized how agents ship to production”

“Eval-as-a-Service for Agents”: test suites for your workflows, not academic benchmarks.

“AI Ops Console”: dashboards for cost/quality/risk + one-click rollback.

Anthropic pushes “AI coworkers” into the mainstream with Cowork, aiming to make agentic capabilities accessible beyond command-line power users.

AI shocks the SaaS world (again): investor anxiety rises as advanced AI platforms threaten to compress traditional software value into “agent + tools.”

AI video gets vertical + distribution-native: Google’s Veo update supports vertical generation and deeper integration into YouTube creation workflows.

AI security becomes a category, not a feature: funding flows to platforms securing and governing AI agents inside enterprises.

Identity security arms up for “human + machine” users: CrowdStrike’s SGNL acquisition highlights continuous identity as the new perimeter in an agent world.

EU AI Act timeline keeps moving: obligations roll out in phases, with major applicability steps already in effect for prohibited practices and GPAI governance, and broader milestones approaching in 2026.