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Business Process Management · Consulting Firms

AI to augment your digital delivery practice, white-label or co-delivered

BPO firms and consulting practices face the same structural challenge from different directions: AI is changing what their clients buy, what their margins look like, and what their delivery teams need to know. We partner with both — as a delivery partner that lets you sell AI without building the practice from scratch, as a white-label engineering arm that ships under your brand, and as a strategic adviser when you are building your own AI capability for the long term. Our own three-year journey from project shop to AI engineering firm gives us a credibility on this conversation that most pure-play AI vendors lack.

Throughput vs manual baseline
40+
Avg processes automated per client
White-label
Available under partner brand
CoE
Practice build expertise
Key Challenges

Where BPM & Consulting organisations need AI most

01

Commodity pricing pressure on traditional BPO

BPO contracts face constant price compression as offshore labour arbitrage decays and as AI starts to substitute for the human-FTE pricing model. AI-augmented delivery is the route to margin preservation and growth — but only with the engineering depth to make the AI work in production, not as a sales slide.

02

Client demand for embedded AI in delivery

Consulting and BPO clients increasingly want AI embedded into the service delivery they buy, not sold to them as a separate workstream. Meeting that demand requires AI capability that delivery teams can wield without becoming AI specialists themselves — which means accelerators, methodologies, and partner support, not just consultants who used to be at OpenAI.

03

Talent and skill gaps in mid-sized firms

Building an enterprise AI delivery capability from scratch takes eighteen to twenty-four months and a hiring effort most mid-sized firms cannot sustain. Partnership with MindMap compresses this to months with capability transfer rather than dependency creation.

04

Tool fragmentation across the automation estate

Most large BPO operations end up with multiple RPA platforms, multiple AI tools, multiple BI stacks, and no unified view of platform performance, delivery velocity, or financial benefit. The rationalisation work is unglamorous and material to margin.

05

White-label and partner-brand delivery

Many of our partners want AI capability deployed under their brand, on their contracts, with their methodology — not visibly as a MindMap engagement. We support this explicitly with a partner-delivery model that includes white-label collateral, partner-aligned methodology, and contractual confidentiality.

AI Accelerator Library

Proven accelerators for BPM & Consulting

Aw
Agentic Workflow Studio
Drag-and-drop builder for multi-agent enterprise workflows.
Mo
Multi-Agent Orchestrator
Coordinates agent teams with planner + critic patterns.
Ac
AI Ops Command Center
Single pane of glass for incident, change and ops AI agents.
Hd
Helpdesk Automator
L1 ticket resolution across ITSM tools, auto-categorise + solve.
It
Incident Triage
NLP-driven incident clustering and priority routing.
Sh
Smartsheet Smart Hub
Curated library of ready-to-use Smartsheet solutions, live on the Marketplace.
Bi
BI Dashboard Builder
Natural-language to dashboard for Power BI, Tableau, Looker.
Ke
Enterprise Knowledge Engine
Sovereign on-prem knowledge graph + RAG for regulated enterprises.
View full library of 117 accelerators →
Case Studies

Results we've delivered

43 processes in 18 months

Listed global BPO: automation Centre of Excellence build

Built and stabilised a three-person automation CoE inside the client's shared-services organisation, delivering forty-three production bot deployments across finance, HR, and supply chain in eighteen months at seventy-percent average effort reduction.

New revenue stream within 9 months

Mid-tier consulting firm: AI practice launch and first deliveries

Designed the firm's AI service portfolio, built the delivery methodology, hired and trained the founding team, and co-delivered the first three client engagements under the partner's brand. Practice now operates independently with MindMap on retainer for specialist work.

3× throughput per FTE

Insurance BPO: AI-augmented back-office across claims

RPA plus DocGenie deployed across claims intake, validation, and downstream routing for a multi-client insurance back-office operation. Same headcount processes three times the volume with improved accuracy and lower escalation rates.

61% denial overturn rate

Healthcare RCM provider: end-to-end automation across denials

Combined GenAI and document automation deployed across denial analysis and appeal generation for a US-focused revenue-cycle BPO. Sixty-one percent of denials overturned on first appeal cycle, versus thirty-seven percent baseline.

C-suite AI engagements within 6 months

Boutique strategy firm: AI advisory capability uplift

Capability uplift across the firm's senior consultants, providing a methodology and accelerator library for AI strategy engagements with C-suite clients. Firm landed its first three named-account AI strategy engagements within six months of programme launch.

11 client implementations in year one

Indian BPO group: white-label conversational AI for client deployments

Partner-branded deployment of ChatNext across the BPO's banking and telecom clients under the BPO's brand, with MindMap providing engineering and platform operations. Eleven client implementations delivered in the first twelve months under the partnership.

AI for BPM & Consulting — let's talk

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