Media & Entertainment · Broadcast compliance monitoring

Compliance violations still reach air because manual review cannot cover every minute of output

Banao builds AI that checks every frame and every ad break before playout — content ratings, profanity, ad-insertion timing, watermarks, and regional cut rules — and flags what needs human review instead of reviewing everything by hand.

The system runs against your existing playout schedule and MAM. When something fails a check, it surfaces in the compliance queue with a timecode and a reason, not a regulator's notice three days after air.

What a Banao compliance deployment checks

Broadcast compliance is not one problem. These are the checks that catch fines and complaints before they happen.

Content rating and watershed enforcement

The model reads scene content — violence, adult themes, drug references — against your regulatory rating thresholds and flags anything scheduled above its watershed slot before the programme leaves the queue.

Ad-insertion timing and SCTE marker validation

Every ad break is checked against the schedule and SCTE-35 markers for timing, separation rules, and product category conflicts before the signal leaves the facility.

Logo bug and watermark compliance

Frame-level checks confirm that mandatory channel and rights-holder watermarks are present throughout the required windows — no silent dropout goes to air undetected.

Regional and territorial cut rules

Rights windows, territorial versioning, and per-region regulatory cuts are enforced at playout rather than relying on a coordinator to catch the wrong version in the schedule queue.

Closed-caption and accessibility compliance

Subtitle and caption files are checked for coverage, timing, and language accuracy against the programme schedule before air — accessibility obligations, not just broadcast guidelines.

Incident logging and audit trail

Every check, every flag, and every override is stored with timecode, reason, and reviewer identity — so your compliance report writes itself and regulator requests are answered in hours.

Where this is already running

Numbers shown dotted (··) are being verified in our case-study metrics pack — published only when confirmed.

Times Internet

Pre-publish content checks across digital video properties

  • ··%compliance checks automated
  • ··%manual review time removed
  • ··×content throughput

Times Internet publishes video across news, entertainment, and sports properties in India. Banao deployed automated pre-publish content rating and ad-placement checks, replacing a manual queue that grew faster than the team could staff.

A regional broadcast network

Ad-insertion and watershed checks moved to automated pre-air queue

  • ··%ad compliance exceptions caught pre-air
  • ··%reduction in post-air compliance events

A regional broadcaster reviewed ad breaks and watershed schedules by hand across two feeds. Banao wired automated SCTE and content-rating checks into the playout workflow, so the compliance team handles flagged exceptions rather than scanning every minute of scheduled output.

We run our own company on the AI we sell

Banao runs a ~300-person engineering operation on its own AI before any client sees it. InterviewGod screens our hires. Vikaas runs our demand generation pipeline. Both have to survive production use inside Banao before they reach a customer.

A compliance system that has never had skin in the game is a prototype. We hold every system we build to the same standard we hold our own — because we know what production use actually costs when something slips through.

  • InterviewGodScreens Banao's own engineering hires every week.
  • VikaasRuns Banao's own demand-gen pipeline end to end.

When broadcast compliance AI is the wrong call

We build compliance systems because the cost of manual review is real. But AI compliance is not the right first step for every operation:

  • Low-volume output: if your team can physically review every minute of scheduled content, the economics of a build rarely justify themselves. We will tell you before you spend.
  • No structured metadata: if your content arrives with no schedule data, no SCTE markers, and no rights metadata, week one is data infrastructure — not compliance modelling.
  • Live broadcast edge cases: real-time compliance monitoring on live feeds requires a different architecture than pre-air checking. The two problems look similar and are not. We scope them separately.

How we start — prove the problem before the build

We do not quote a compliance deployment off a requirements document. We start by mapping where violations are actually escaping.

  1. AI Discovery Sprint2 weeks · fixed price

    We audit a sample of your recent output against your regulatory obligations, map where violations are going undetected, and hand back a ranked list of checks to automate with ROI maths behind each — yours to keep regardless of whether you continue. Proceed, and the Sprint cost is credited against the build.

  2. Build

    Check models trained to your regulatory framework and house rules, integrated with your MAM, playout schedule, and SCTE infrastructure. The compliance queue UI and incident log are part of the deliverable.

  3. Production & continuous improvement

    Live deployment with reviewer override, incident logging, and a compliance dashboard. Regulator requests, override patterns, and missed-flag feedback sharpen the checks over time.

Frequently asked questions

The check rules are configurable — we implement them against your specific regulator's requirements, whether that is OFCOM, TRAI, FCC ad-scheduling rules, or a house standard. The model does not ship with a generic ruleset; we build to your obligation list during the Discovery Sprint.

Pre-recorded and scheduled content is the primary use case — AI checks run before the signal leaves the facility. Live broadcast compliance requires a separate real-time architecture with higher latency constraints. We scope them differently and will tell you which applies to your problem.

Every flag surfaces in a compliance queue with a timecode, a check description, and a confidence level. Reviewers confirm, override, or escalate — and every decision is logged with a reason. The AI reduces what the team has to watch; it does not make the call.

No. The system handles the high-volume scanning pass so your compliance team focuses on flagged exceptions and regulator correspondence rather than watching every minute of scheduled output. Headcount is freed for judgement work, not removed.

We integrate with your existing MAM and playout schedule via API or file-based handoff — legacy formats included. The compliance check runs before the asset reaches the transmission queue, and the outcome writes back to your schedule metadata. Integration scope is confirmed during the Discovery Sprint.

Find out which compliance checks are escaping your current process

Bring one week of post-air incidents or a recent regulator notice. In 45 minutes we will map which checks should be automated and what that would cost.

Book a 45-min scoping call