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Vertical AI for marketing

ProveWhat your advertising actually caused. ActAI moves the money, inside your guardrails and policies. RememberEverything, with the context it happened in.

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Finally, a marketing AI with institutional memory.

A ledger of every advertising decision. Guardrails your finance team set. Playbooks that sharpen with each result.

The problem

One campaign. Five answers. Which one would you take to the board?

A $40M direct-to-consumer brand spends $3.5M a month across six channels. The board asks whether one $412K Facebook campaign worked. This is what comes back.

Composite of MemoLogs accounts · anonymised

  • $5.71MFacebook’s own reportthe platform grading itself
  • $3.10MTheir analytics toolcredit split across clicks
  • $1.90MTheir statistical modela model of last quarter
  • +12%The last real testtrue—five months ago
  • +4%What finance seesrevenue, all causes

Every figure is correctly calculated. None of them tells you what the next $412,000 will do.

So the number that gets presented is the one that can be defended, and the budget moves on instinct. The reasoning, the conditions and the approver are never written down. When the person who made the call leaves, the company forgets the call was ever made.

What we do

Prove it. Act on it. Remember it.

A clinical trial for your advertising: some of your markets see the campaign, some are held back, all the time. The AI acts on the result inside your rules—and never forgets it.

01 · Prove

A causal answer from a live experiment in your own markets

Three published methods are run separately on the same question. You get a verdict only when all three agree, with a grade for how far to trust it.

When the data can’t answer, it says soRoughly one question in eight. You never get a confident number that isn’t.
02 · Act

Budget moved on the ad platforms, inside limits you approved

Then the platform is checked to confirm the change actually happened. Executed and verified are two different claims, and you see both.

Your rules decide permissionA persuasive number is never a reason to spend.
03 · Remember

Every decision kept, with its evidence, its approver and its result

Plus the conditions at the time—price, promotions, competitor activity, seasonality—captured automatically, so the next team can see what was actually different.

Memory that outlasts the teamPeople leave. The reasoning stays.

Everything MemoLogs does is one of those three things.

The walkthrough

Here is what that looks like, running for one brand.

The MemoLogs decision loop

Every decision feeds the next.

Carries forwardgoal · proposal · rules
Learning informs recommendationsApproved rules control action

Every decision is stored with the world around it.

A decision on its own is a guess later. MemoLogs attaches a snapshot of the conditions at the moment of the choice, so the next team can tell what was actually different.

Decision Scale radio by $460K across eight markets. Approved · the conditions travel with it Snapshot embedded
  • Product2 SKUs low on stock
  • PricingASP +3% vs 90d
  • PromosNone active · ours
  • Seasonality41 days to peak
  • CompetitionRival discounting
  • Search indexInterest +18%
  • News1 flag · retail
  • Reviews4.4 ★ · 2.1k
  • Sentiment+0.31 · improving
  • EconomySteady

The feedback loop · the same brand, continued

Every result becomes evidence for the next decision.

Grade what was decided, delivered and earned

Decision
How strong was the case, given what was known? For this brand: well-supported—three methods agreed on radio, and Facebook was refused rather than guessed.
Execution
Did the action follow the approved plan and limits? For this brand: $460K written inside the cap and verified on the platforms.
Outcome
Did the result meet the objective, and what can the evidence attribute to it? For this brand: radio held at +19% in the new markets; the July Meta scale-up lost 8%.

Explore what could have happened instead

Alternatives
What a different scale, timing or channel would likely have done, set against the path taken.
Evidence
Built only from your past decisions, measured effects and the conditions at the time—never from a platform’s own claim.
Uncertainty
Show the assumptions and the ranges. Estimates stay labelled as estimates; measured effects stay measured.
Next step
A recommended action or a test to run. When the evidence can’t separate two options, it says so.

Recommend the next move—with the reasons attached

Recommend what to continue, change, pause or test. Each recommendation links back to relevant decisions, delivery evidence and business results—and returns to evaluation before a new commitment.

Your next team or agent starts with the lesson and the context that makes it useful.

Improve the rules, too

AI identifies recurring exceptions and proposes rule refinements. Review how a proposed rule would have treated past decisions and where it might introduce unnecessary delays.

Your team decides whether to adopt, adjust or reject it. Approved changes feed the next cycle; learning never silently changes permission.

More hands on the budget. One limit they all share.

Your teams, agencies and AI agents each see part of the picture. Your company carries the whole investment. A retail plan, a sponsorship deal and an agent's campaign change can each make sense on their own—and still compete for the same budget or audience.

MemoLogs brings every proposed media commitment back to your goals, agreed spending rules and relevant past decisions. It surfaces competing commitments, tests the supporting evidence and identifies when a person needs to decide.

Give people and agents room to act—with your company's experience behind them and clear boundaries around the money.

  1. See the whole commitment

    Bring campaign changes, contracts, media bookings and purchase requests into one investment picture—through connected systems, uploaded plans and team submissions.

  2. Bring experience to the decision

    Retrieve comparable decisions and examine how closely their context and evidence fit. Past results inform the case; similarity alone is never permission to spend.

  3. Make permission clear

    Your approved rules determine what can proceed, what needs limits and what requires review. Where execution runs through MemoLogs, those boundaries govern the action itself.

  4. Carry the learning forward

    Every decision adds context for the next: what was expected, what happened and what the organization should reconsider. AI recommends refinements; your team approves rule changes.

Every operator sees an opportunity. MemoLogs sees the commitments.

Every incoming change is checked against your shared spending rules, the evidence behind it and the decisions already in motion—before more money is committed.

Shared commitment · Audience A$0 of $120k
limit $120k
CommittedHeldDetected after
AgencyRetail media +$40kAudience A

Within the agency’s agreed mandate. Two comparable retail activations on record, both within range.

Investment case
Supported
Permission
Within mandate
Disposition
Proceeds

Commits $40k against the shared audience limit.

Marketing teamCreators +$60kAudience A

Looks reasonable on its own: a strong creator precedent, spend within the team’s authority.

Investment case
Supported
Permission
Within authority
Disposition
Proceeds · pending commit

Would take shared commitment on Audience A to $100k of a $120k limit.

AI agentPaid social +$35kAudience A

Performance is up and the agent is inside its scope. But the combined effect is what the rules check.

Investment case
Supported
Permission
Combined limit exceeded
Disposition
Held for review

$40k + $60k + $35k = $135k against a $120k limit. The creators request, not yet committed, is held too. Rule, not judgment.

Status changed Creators +$60k: Proceeds → Held for review

AI agentScale search +$150kAudience B

Justified by platform-reported ROAS of 4.1. Platform attribution is a claim, not evidence, and this size of move needs more.

Investment case
Limited · platform claim
Permission
Evidence requirement unmet
Disposition
Held

Resolution: request evidence. A geo test is queued. Requesting evidence resolves the hold; it is not permission.

AgencySponsorship renewal $300k · annualAudience A

Overlaps the creator investment already in motion on the same audience. The renewal case is weak; a shorter option keeps flexibility.

Investment case
Limited · overlap
Permission
Finance review on annual
Disposition
Constrained

Resolution: a revised option. A three-month pilot is recommended for approval. Recommending an alternative is not permission to execute it.

Direct platform changeCampaign raised +$20k in the ad accountAudience A

Made outside the governed path. MemoLogs cannot hold what it does not control, so this is detected after, not intercepted.

Investment case
No case on record
Permission
Unapproved change
Disposition
Detected after · owner alerted

Reconciled against approved decisions. Shared commitment now shows the departure. Honest boundary: intervention before execution only where the path is governed.

Finance has a ledger. Sales has a CRM. Now marketing has a record.

One record of every advertising decision.

Digital. TV and streaming. Retail media. Out-of-home. PR. Influencers. Sponsorships. Give enterprise marketing, finance and agency teams a shared view of the decisions behind the spend—across brands, regions and planning cycles.

Define success for each investment: new buyers, brand lift, qualified demand or another agreed objective. Review delivery against the brief and business impact against the evidence; media coverage or reach alone does not establish business impact.

Start with one recurring investment review

  1. Your marketing operations lead coordinates the pilot; marketing and finance name the decision owners.
  2. Bring one current plan, existing commitments, approval guidance and any useful past reviews. Missing history stays visible.
  3. The team or agency submits a proposal. MemoLogs assembles the evidence and rule checks; the named owner handles exceptions.
  4. Leave the first review with a decision brief: relevant precedents, conflicts, approval needs and alternatives. No automated spending is needed to start.
  5. Evaluate review preparation time, approval turnaround, commitments caught before approval and team adoption against an agreed baseline.

Independent by design

Ad platforms benefit when spend grows. Agencies often earn against media volume. MemoLogs does neither: it does not sell the auction, buy the media or grade its own inventory.

We are paid to improve the decision—not to increase the spend.

Intelligence built from your own experience

Context
What you were trying to achieve, the options you considered and why you chose this move.
Conditions
A data snapshot embedded with every decision: product, pricing, promos, seasonality, competition, search, news, reviews, sentiment and the economy at that moment.
Memory
Comparable decisions ranked by objective, market, audience and conditions—not just similar wording. The reasons for a match and its limitations travel with it.
Learning
Decision grades, estimated alternatives and recommendations grounded in your own organization's experience.
Continuity
People and agencies change. Your company's decision history stays with you.
Why companies can trust it

AI interprets the brief and finds the relevant experience. Rules you approved decide permission. Evidence limits what the system can conclude—it refuses rather than guesses. A persuasive recommendation cannot override an approved spending boundary. And MemoLogs is paid a flat fee for the decision, never a share of the media.

What to establish before an enterprise pilot

Agree data access, brand and agency separation, retention and deletion, model-provider data use, approval ownership and the audit records required. Confirm which actions are technically enforced and which rely on your existing approval process. These are pilot acceptance requirements, not claims of certifications or controls already deployed.

Give your advertising a memory.

Bring one upcoming launch, renewal or regional media plan. We’ll run a real investment review through MemoLogs and show you what your company would have remembered.

Book a walkthrough