Agentic AI sounds great in a deck.We don't build that.

We build AI that sits over your existing systems, with your team in the loop on every decision that costs real money.

The argument

Three commitments that change what you ship.

01

Layer, not replacement.

Your operation already runs on Salesforce, NetSuite, SAP, QuickBooks, pick your stack. We do not replace any of it. We build the AI that sits on top, reads from those systems, and writes back where you let it.

02

Humans on every decision that matters.

Agentic AI sounds great until it ships an invoice approval, a $50k ad buy, or a price change without a human reading it. Every consequential decision is reviewed, approved, and accountable.

03

Operations, not strategy.

Back office. Supply chain. Customer pipeline. Where the day-to-day gets done. Not "AI strategy decks." Real systems your team uses on Monday morning, with measurable throughput and accuracy gains.

Inside the loop

What human-in-the-loop actually looks like.

Every consequential action lands in a queue with the named human attached, the flags the system raised, and a clean record of how it resolved. No invisible autonomy. No deniability.

Subject

Refund $4,820 to ACME Corp.

Flagged
  • Amount above $1k auto-approve threshold
  • Customer NPS 6 with an open complaint
  • Net-new for this account in last 12 months
Approver

ControllerMaya R.

Selected work + capability

One shipped reference. Four shapes of operation we'd build for next.

The hero card is real production work. The capability cards are honest about what we have not built yet, framed as the system we would build for an operation in that shape.

DTC & Retail2024

AI Video Ad Production

Sits over Meta Ads + Drive + your creative team

Sits overMeta AdsGoogle DriveSlackDropbox

Outcome

13-state production pipeline; weekly ad output 5×

Competitor Analysis
Read the case
CapabilityProfessional Services

AI Knowledge & Meeting Intelligence

Sits over Google Workspace + Slack + your meeting stack

Sits overGoogle CalendarGoogle MeetSlack

For services teams losing context across client meetings, we would build a retrieval layer over transcripts with account-leads approving every auto-extracted action item before it ships.

CapabilityFinancial Services

AI Finance Operations

Sits over QuickBooks + Plaid + Stripe

Sits overQuickBooksPlaidStripe

For finance teams drowning in close + investor prep, we would build a unified ledger over QuickBooks, Plaid, and Stripe with the controller approving categorizations and the CFO signing off on every auto-drafted update.

CapabilityB2B SaaS / Distribution

AI Sales Operations

Sits over Salesforce + Gmail + Apollo

Sits overSalesforceHubSpotGmail

For sales teams losing reps to admin, we would build a conversation index over Gmail and Zoom with reps reviewing every drafted touch and managers approving scoring rubric retrains.

CapabilityDTC & Retail

AI Commerce Operations

Sits over Shopify + Amazon + your fulfillment stack

Sits overShopifyAmazon SP-APIShipStation

For multi-channel commerce teams running on stale weekly pricing, we would build a per-SKU per-day pricing engine with merchandisers approving any change outside an autorange and brand leads reviewing rewritten copy before publish.

CapabilityCross-industry

AI Data & Analytics

Sits over Postgres + BigQuery + your data warehouse

Sits overPostgreSQLBigQueryGoogle Sheets

For ops teams that have outgrown spreadsheets but cannot justify a data team yet, we would build a plain-English query layer over your warehouse with analysts reviewing every generated SQL before it runs against production.

Team

Senior bench. No juniors on production AI systems.

Meet the team

Parikh Ahluwalia

Principal

AI systems & forward-deployed engineering

AJ

Operating partner

Distribution & client engagement

Talk to us

Tell us where you're bleeding hours.

Reply within two business days. We'll either propose a 2-week Discovery or be honest about why we're not the right fit.

Reply within 2 business days